25.3.11.2 Tamper Detection, Image Manipulation Detection, Forensics

Chapter Contents (Back)
Watermark. Tamper Detection. Image Forensics. Forensics. Mostly not watermark based tamper detction, but it can be.
See also Forgery Detection for Images. Specifically copy-move:
See also Copy-Move Tamper Detection, Splicing, Forensics.
See also Double Compression, Double JPEG Detection, Forensics.
See also Deepfakes, Face Synthesis, Fake News, Generation, Detection.

Yang, C.K.[Chen-Kuei], Huang, C.S.[Chang-Sheng],
A Novel Watermarking Technique for Tampering Detection in Digital Images,
ELCVIA(3), No. 1, 2004, pp. 1-12.
DOI Link 0402
BibRef

Knowles, H.D., Winne, D.A., Canagarajah, C.N., Bull, D.R.,
Image tamper detection and classification using support vector machines,
VISP(151), No. 4, August 2004, pp. 322-328.
IEEE Abstract. 0411
BibRef

Lin, P.L.[Phen Lan], Hsieh, C.K.[Chung-Kai], Huang, P.W.[Po-Whei],
A hierarchical digital watermarking method for image tamper detection and recovery,
PR(38), No. 12, December 2005, pp. 2519-2529.
Elsevier DOI 0510
BibRef

Chang, C.C.[Chin-Chen], Hu, Y.S.[Yih-Shin], Lu, T.C.[Tzu-Chuen],
A watermarking-based image ownership and tampering authentication scheme,
PRL(27), No. 5, 1 April 2006, pp. 439-446.
Elsevier DOI 0604
Image authentication; Ownership protection; Tampering detection BibRef

Chan, C.S.[Chi-Shiang], Chang, C.C.[Chin-Chen],
An efficient image authentication method based on Hamming code,
PR(40), No. 2, February 2007, pp. 681-690.
Elsevier DOI 0611
Image authentication; Tamper proofing; Hamming code; Torus automorphism BibRef

Peng, X.X.[Xin-Xin], Lu, J.F.[Jian-Feng], Li, L.[Li], Chang, C.C.[Chin-Chen], Zhou, Q.[Qili],
A New Card Authentication Scheme Based on Image Watermarking and Encryption,
IWDW16(358-369).
Springer DOI 1703
BibRef

Chan, C.S.[Chi-Shiang],
An image authentication method by applying Hamming code on rearranged bits,
PRL(32), No. 14, 15 October 2011, pp. 1679-1690.
Elsevier DOI 1110
Image authentication; Tamper proofing; Hamming code BibRef

Yang, H.J.[Hui-Juan], Kot, A.C.[Alex C.],
Binary Image Authentication With Tampering Localization by Embedding Cryptographic Signature and Block Identifier,
SPLetters(13), No. 12, December 2006, pp. 741-744.
IEEE DOI 0701
BibRef

Chang, C.C.[Chin-Chen], Fan, Y.H.[Yi-Hsuan], Tai, W.L.[Wei-Liang],
Four-scanning attack on hierarchical digital watermarking method for image tamper detection and recovery,
PR(41), No. 2, February 2008, pp. 654-661.
Elsevier DOI 0711
Fragile watermarking; Image authentication; Tamper detection BibRef

Phan, R.C.W.[Raphael C.W.],
Tampering with a watermarking-based image authentication scheme,
PR(41), No. 11, November 2008, pp. 3493-3496.
Elsevier DOI 0808
Encoding; Watermarking; Information hiding; Digital rights management; Image authentication; Watermarking; Tampering; Ownership BibRef

Lee, T.Y.[Tien-You], Lin, S.D.[Shinfeng D.],
Dual watermark for image tamper detection and recovery,
PR(41), No. 11, November 2008, pp. 3497-3506.
Elsevier DOI 0808
Dual watermark; Tamper recovery; Second chance; Partner-block BibRef

Qi, X.J.[Xiao-Jun], Xin, X.[Xing],
A quantization-based semi-fragile watermarking scheme for image content authentication,
JVCIR(22), No. 2, February 2011, pp. 187-200.
Elsevier DOI 1102
Authentication measures; Error map; Quantization; Semi-fragile watermarking; Wavelet transform; Tampered error pixels; Tampering detection sensitivity; Localization capability BibRef

Qi, X.J.[Xiao-Jun], Xin, X.[Xing],
A singular-value-based semi-fragile watermarking scheme for image content authentication with tamper localization,
JVCIR(30), No. 1, 2015, pp. 312-327.
Elsevier DOI 1507
Adaptive quantization BibRef

Qi, X.J.[Xiao-Jun], Xin, X.[Xing], Chang, R.[Ran],
Image authentication and tamper detection using two complementary watermarks,
ICIP09(4257-4260).
IEEE DOI 0911
BibRef

Chuang, J.C.[Jun-Chou], Hu, Y.C.[Yu-Chen],
An adaptive image authentication scheme for vector quantization compressed image,
JVCIR(22), No. 5, July 2011, pp. 440-449.
Elsevier DOI 1106
Tamper detection; Image authentication; Watermark; Image compression; Vector quantization; Index table; Random values; Random seed BibRef

Kim, K.S.[Kyung-Su], Lee, M.J.[Min-Jeong], Lee, J.W.[Ji-Won], Oh, T.W.[Tae-Woo], Lee, H.Y.[Hae-Yeoun],
Region-based tampering detection and recovery using homogeneity analysis in quality-sensitive imaging,
CVIU(115), No. 9, September 2011, pp. 1308-1323.
Elsevier DOI 1107
Content authentication; Homogeneity analysis; Quad-tree decomposition; Tampering detection; Tampering recovery BibRef

Oh, T.W.[Tae-Woo], Kim, K.S.[Kyung-Su], Lee, H.Y.[Hae-Yeon], Lee, J.W.[Ji-Won], Lee, H.K.[Heung-Kyu],
Enhancing perceptual quality of watermarked high-definition video through composite mask,
IPTA10(161-165).
IEEE DOI 1007
BibRef

Lee, M.J.[Min-Jeong], Kim, K.S.[Kyung-Su], Suh, Y.H.[Young-Ho], Lee, H.K.[Heung-Kyu],
Improved watermark detection robust to camcorder capture based on quadrangle estimation,
ICIP09(101-104).
IEEE DOI 0911
BibRef

Kim, H.D.[Hee-Dong], Oh, T.W.[Tae-Woo], Lee, J.W.[Ji-Won], Lee, H.K.[Heung-Kyu],
A hybrid watermarking scheme for CCL-applied video contents,
EUVIP11(199-204).
IEEE DOI 1110
BibRef

Oh, T.W.[Tae-Woo], Lee, M.J.[Min-Jeong], Kim, K.S.[Kyung-Su], Yoon, Y.S.[Young-Suk], Lee, H.K.[Heung-Kyu],
Spatial self-synchronizing video watermarking technique,
ICIP09(4233-4236).
IEEE DOI 0911
BibRef

Lee, M.J.[Min-Jeong], Kim, K.S.[Kyung-Su], Lee, H.Y.[Hae-Yeoun], Oh, T.W.[Tae-Woo], Suh, Y.H.[Young-Ho], Lee, H.K.[Heung-Kyu],
Robust watermark detection against D-A/A-D conversion for digital cinema using local auto-correlation function,
ICIP08(425-428).
IEEE DOI 0810
BibRef

Kim, K.S.[Kyung-Su], Im, D.H.[Dong-Hyuck], Suh, Y.H.[Young-Ho], Lee, H.K.[Heung-Kyu],
A Practical Real-Time Video Watermarking Scheme Robust against Downscaling Attack,
DW07(323-334).
Springer DOI 0712
BibRef

He, Z.W.[Zhong-Wei], Sun, W.[Wei], Lu, W.[Wei], Lu, H.T.[Hong-Tao],
Digital image splicing detection based on approximate run length,
PRL(32), No. 12, 1 September 2011, pp. 1591-1597.
Elsevier DOI 1108
Image splicing detection; Digital image forensics; Approximate run length; Edge detection; Characteristic function BibRef

Zhang, Q.B.[Qing-Bo], Lu, W.[Wei], Weng, J.[Jian],
Joint image splicing detection in DCT and Contourlet transform domain,
JVCIR(40, Part B), No. 1, 2016, pp. 449-458.
Elsevier DOI 1610
Image splicing detection BibRef

He, Z.W.[Zhong-Wei], Lu, W.[Wei], Sun, W.[Wei],
Improved Run Length Based Detection of Digital Image Splicing,
IWDW11(349-360).
Springer DOI 1208
BibRef

He, Z.W.[Zhong-Wei], Lu, W.[Wei], Sun, W.[Wei], Huang, J.W.[Ji-Wu],
Digital image splicing detection based on Markov features in DCT and DWT domain,
PR(45), No. 12, December 2012, pp. 4292-4299.
Elsevier DOI 1208
Image splicing detection; Digital image forensics; Discrete cosine transform; Discrete wavelet transform; Markov; SVM-RFE BibRef

Feng, X., Cox, I.J., Doerr, G.,
Normalized Energy Density-Based Forensic Detection of Resampled Images,
MultMed(14), No. 3, 2012, pp. 536-545.
IEEE DOI 1202
BibRef

Faridul, H.S.[Hasan Sheikh], Doerr, G.[Gwenael],
Outlier aggregation to pick up scattered watermark energy,
ICIP15(2485-2489)
IEEE DOI 1511
Cross-correlation BibRef

Lee, J.W.[Ji-Won], Lee, M.J.[Min-Jeong], Lee, H.Y.[Hae-Yeoun], Lee, H.K.[Heung-Kyu],
Screenshot identification by analysis of directional inequality of interlaced video,
JIVP(2012), No. 1 2012, pp. xx-yy.
DOI Link 1202
BibRef

Wang, X.F.[Xiao-Feng], Xue, J.R.[Jian-Ru], Zheng, Z.Q.[Zhen-Qiang], Liu, Z.L.[Zhen-Li], Li, N.[Ning],
Image forensic signature for content authenticity analysis,
JVCIR(23), No. 5, July 2012, pp. 782-797.
Elsevier DOI 1205
Forensic signature; Robust image hash; Content authenticity analysis; Geometric transform estimation; Tampering detection; Tampering localization; Adaptive Harris corner detection; Fisher criterion BibRef

Barni, M., Costanzo, A.,
A fuzzy approach to deal with uncertainty in image forensics,
SP:IC(27), No. 9, October 2012, pp. 998-1010.
Elsevier DOI 1210
Image forensics; Tampering detection; Fuzzy logic; Data fusion BibRef

Sencar, H.T.[Husrev Taha], Memon, N.[Nasir], (Eds.)
Digital Image Forensics: There is More to a Picture than Meets the Eye,
Springer2013 ISBN 978-1-4614-0756-0

WWW Link. 1211
BibRef

Memon, N.[Nasir],
Photo Forensics: There Is More to a Picture than Meets the Eye,
IWDW11(2).
Springer DOI 1208
BibRef
And: AVSBS11(3).
IEEE DOI 1111
Keynote, summary of ideas. BibRef

Tong, X.J.[Xiao-Jun], Liu, Y.[Yang], Zhang, M.[Miao], Chen, Y.[Yue],
A novel chaos-based fragile watermarking for image tampering detection and self-recovery,
SP:IC(28), No. 3, March 2013, pp. 301-308.
Elsevier DOI 1303
Chaos; Image security; Fragile watermarking; Tampering localization; Self-recovery BibRef

Singh, D.[Durgesh], Shivani, S.[Shivendra], Agarwal, S.[Suneeta],
Quantization-Based Fragile Watermarking Using Block-Wise Authentication and Pixel-Wise Recovery Scheme for Tampered Image,
IJIG(13), No. 2, April 2013, pp. 1340002.
DOI Link 1308
BibRef
Earlier: A2, A1, A3:
DCT Based Approach for Tampered Image Detection and Recovery Using Block Wise Fragile Watermarking Scheme,
IbPRIA13(640-647).
Springer DOI 1307
BibRef

Chen, C.L.[Cheng-Long], Ni, J.Q.[Jiang-Qun], Huang, J.W.[Ji-Wu],
Blind Detection of Median Filtering in Digital Images: A Difference Domain Based Approach,
IP(22), No. 12, 2013, pp. 4699-4710.
IEEE DOI 1312
BibRef
Earlier: A1, A2, Only:
Median Filtering Detection Using Edge Based Prediction Matrix,
IWDW11(361-375).
Springer DOI 1208
image coding BibRef

Tokuda, E.[Eric], Pedrini, H.[Helio], Rocha, A.[Anderson],
Computer generated images vs. digital photographs: A synergetic feature and classifier combination approach,
JVCIR(24), No. 8, 2013, pp. 1276-1292.
Elsevier DOI 1312
Digital forensics BibRef

Ryu, S.J.[Seung-Jin], Lee, H.K.[Heung-Kyu],
Estimation of linear transformation by analyzing the periodicity of interpolation,
PRL(36), No. 1, 2014, pp. 89-99.
Elsevier DOI 1312
Image forensics BibRef

Kannammal, A., Rani, S.S.[S. Subha],
Two level security for medical images using watermarking/encryption algorithms,
IJIST(24), No. 1, 2014, pp. 111-120.
DOI Link 1403
digital imaging and communications in medicine BibRef

Ryu, S.J.[Seung-Jin], Lee, H.Y.[Hae-Yeoun], Lee, H.K.[Heung-Kyu],
Detecting Trace of Seam Carving for Forensic Analysis,
IEICE(E97-D), No. 5, May 2014, pp. 1304-1311.
WWW Link. 1405
BibRef

Yang, B.J.[Ben-Juan], Liu, B.Y.[Ben-Yong],
Feature Fusion for Blurring Detection in Image Forensics,
IEICE(E97-D), No. 6, June 2014, pp. 1690-1693.
WWW Link. 1407
BibRef

Chang, T.Y.[Tang-You], Tai, S.C.[Shen-Chuan], Lin, G.S.[Guo-Shiang],
A passive multi-purpose scheme based on periodicity analysis of CFA artifacts for image forensics,
JVCIR(25), No. 6, 2014, pp. 1289-1298.
Elsevier DOI 1407
Image forensics BibRef

Vellaisamy, S., Ramesh, V.,
Inversion attack resilient zero-watermarking scheme for medical image authentication,
IET-IPR(8), No. 12, 2014, pp. 718-727.
DOI Link 1412
image watermarking BibRef

Bian, S.[Shan], Luo, W.Q.[Wei-Qi], Huang, J.W.[Ji-Wu],
Exposing Fake Bit Rate Videos and Estimating Original Bit Rates,
CirSysVideo(24), No. 12, December 2014, pp. 2144-2154.
IEEE DOI 1412
BibRef
Earlier:
Exposing fake bitrate video and its original bitrate,
ICIP13(4492-4496)
IEEE DOI 1402
Feature extraction. Digital Video Forensics; Fake Bitrate Video; Video Bitrate Estimation BibRef

de Rosa, A., Fontani, M., Massai, M., Piva, A., Barni, M.,
Second-Order Statistics Analysis to Cope With Contrast Enhancement Counter-Forensics,
SPLetters(22), No. 8, August 2015, pp. 1132-1136.
IEEE DOI 1502
digital forensics BibRef

Chu, X., Stamm, M.C.[Matthew C.], Chen, Y., Liu, K.J.R.[K. J. Ray],
On Antiforensic Concealability With Rate-Distortion Tradeoff,
IP(24), No. 3, March 2015, pp. 1087-1100.
IEEE DOI 1502
Detectors BibRef

Stamm, M.C.[Matthew C.], Tjoa, S.K.[Steven K.], Lin, W.S.[W. Sabrina], Liu, K.J.R.[K. J. Ray],
Undetectable image tampering through JPEG compression anti-forensics,
ICIP10(2109-2112).
IEEE DOI 1009
BibRef

Zhao, X., Wang, S., Li, S., Li, J.,
Passive Image-Splicing Detection by a 2-D Noncausal Markov Model,
CirSysVideo(25), No. 2, February 2015, pp. 185-199.
IEEE DOI 1502
Analytical models BibRef

Yoshida, M.[Maki], Ohkita, K.[Kazuya], Fujiwara, T.[Toru],
Individual Restoration of Tampered Pixels for Statistical Fragile Watermarking,
IEICE(E98-D), No. 1, January 2015, pp. 58-64.
WWW Link. 1503
BibRef

Ohkita, K.[Kazuya], Yoshida, M.[Maki], Kitamura, I.[Itaru], Fujiwara, T.[Toru],
Improving Capability of Locating Tampered Pixels of Statistical Fragile Watermarking,
DW09(279-293).
Springer DOI 0908
BibRef

Lee, S.W.[Sang-Wook], Song, J.E.[Ji Eun], Lee, W.Y.[Wan Yeon], Ko, Y.W.[Young Woong], Lee, H.[Heejo],
Integrity Verification Scheme of Video Contents in Surveillance Cameras for Digital Forensic Investigations,
IEICE(E98-D), No. 1, January 2015, pp. 95-97.
WWW Link. 1503
BibRef

Eswaraiah, R., Reddy, E.S.[E. Sreenivasa],
Robust medical image watermarking technique for accurate detection of tampers inside region of interest and recovering original region of interest,
IET-IPR(9), No. 8, 2015, pp. 615-625.
DOI Link 1506
Internet BibRef

Khan, Z.[Zohaib], Shafait, F.[Faisal], Mian, A.[Ajmal],
Automatic ink mismatch detection for forensic document analysis,
PR(48), No. 11, 2015, pp. 3615-3626.
Elsevier DOI 1506
BibRef
Earlier:
Hyperspectral Document Imaging: Challenges and Perspectives,
CBDAR13(150-163).
Springer DOI 1404
BibRef
Earlier:
Hyperspectral Imaging for Ink Mismatch Detection,
ICDAR13(877-881)
IEEE DOI 1312
Hyperspectral imaging. document image processing BibRef

Khan, Z.[Zohaib], Shafait, F.[Faisal], Mian, A.[Ajmal],
Joint Group Sparse PCA for Compressed Hyperspectral Imaging,
IP(24), No. 12, December 2015, pp. 4934-4942.
IEEE DOI 1512
compressed sensing BibRef

Hou, J.[Jun], Cheng, Y.[Yan],
Expose Spliced Photographic Basing on Boundary and Noise Features,
IEICE(E98-D), No. 7, July 2015, pp. 1426-1429.
WWW Link. 1508
BibRef

Chen, J.S.[Jian-Sheng], Kang, X.G.[Xian-Gui], Liu, Y.[Ye], Wang, Z.J.,
Median Filtering Forensics Based on Convolutional Neural Networks,
SPLetters(22), No. 11, November 2015, pp. 1849-1853.
IEEE DOI 1509
digital forensics BibRef

Botta, M.[Marco], Cavagnino, D.[Davide], Pomponiu, V.[Victor],
Optimization techniques to transform fragile watermarking,
SPIE(Newsroom), July 11, 2015
DOI Link 1511
An algorithm alters image pixels to enable insertion of a watermark into the coefficients of a transformed domain, without the need for inverse transformation. BibRef

Carvalho, T.[Tiago],
Illumination Inconsistency Sleuthing for Exposing Fauxtography and Uncovering Composition Telltales in Digital Images,
ELCVIA(14), No. 3, 2015, pp. xx-yy.
DOI Link 1601
Thesis summary. Is the image real or composed. BibRef

Mittal, A., Saad, M.A., Bovik, A.C.,
A Completely Blind Video Integrity Oracle,
IP(25), No. 1, January 2016, pp. 289-300.
IEEE DOI 1601
Databases BibRef

Korus, P., Huang, J.,
Improved Tampering Localization in Digital Image Forensics Based on Maximal Entropy Random Walk,
SPLetters(23), No. 1, January 2016, pp. 169-173.
IEEE DOI 1601
Detectors BibRef

Korus, P., Huang, J.,
Multi-Scale Fusion for Improved Localization of Malicious Tampering in Digital Images,
IP(25), No. 3, March 2016, pp. 1312-1326.
IEEE DOI 1602
Authentication BibRef

Pasquini, C.[Cecilia],
Statistical and deterministic approaches for multimedia forensics,
ELCVIA(15), No. 2, 2016, pp. 16-18.
DOI Link 1611
BibRef

Iuliani, M.[Massimo], Fanfani, M.[Marco], Colombo, C.[Carlo], Piva, A.[Alessandro],
Reliability assessment of principal point estimates for forensic applications,
JVCIR(42), No. 1, 2017, pp. 65-77.
Elsevier DOI 1701
camera principal point. Image Forensics BibRef

Liu, Q.Z.[Qing-Zhong],
An approach to detecting JPEG down-recompression and seam carving forgery under recompression anti-forensics,
PR(65), No. 1, 2017, pp. 35-46.
Elsevier DOI 1702
BibRef
Earlier:
Exposing seam carving forgery under recompression attacks by hybrid large feature mining,
ICPR16(1041-1046)
IEEE DOI 1705
Discrete cosine transforms, Feature extraction, Forgery, Image coding, Image forensics, Medical services, Transform coding, big feature mining, image forgery, recompression, seam carving. BibRef

Shen, X.J.[Xuan-Jing], Shi, Z.[Zenan], Chen, H.P.[Hai-Peng],
Splicing image forgery detection using textural features based on the grey level co-occurrence matrices,
IET-IPR(11), No. 1, January 2017, pp. 44-53.
DOI Link 1703
BibRef

Chen, C., Ni, J., Shen, Z., Shi, Y.Q.,
Blind Forensics of Successive Geometric Transformations in Digital Images Using Spectral Method: Theory and Applications,
IP(26), No. 6, June 2017, pp. 2811-2824.
IEEE DOI 1705
frequency-domain analysis, image forensics, image sampling, blind forensics, characteristic resampling peaks, digital images, frequency domain, image authentication, image forgery detection, image geometric transformation, image security, periodic artifacts, repeated resizing, repeated rotation, resizing-rotation, second-order statistics, spectral method, successive geometric transformation, undergone single-geometric transformation, Digital images, Forensics, Forgery, Image coding, Image reconstruction, Interpolation, Transform coding, Digital image forensics, geometric transformations, image forgery detection, interpolation detection, resampling, detection BibRef

Hou, J.U., Lee, H.K.,
Detection of Hue Modification Using Photo Response Nonuniformity,
CirSysVideo(27), No. 8, August 2017, pp. 1826-1832.
IEEE DOI 1708
Algorithm design and analysis, Correlation, Digital images, Estimation, Forensics, Forgery, Image color analysis, Color filter array (CFA), digital image forensics, hue, photo response nonuniformity (PRNU), sensor, pattern, noise BibRef

Zhang, D.Y.[Deng-Yong], Yin, T.[Ting], Yang, G.B.[Gao-Bo], Xia, M.[Ming], Li, L.[Leida], Sun, X.M.[Xing-Ming],
Detecting image seam carving with low scaling ratio using multi-scale spatial and spectral entropies,
JVCIR(48), No. 1, 2017, pp. 281-291.
Elsevier DOI 1708
Image forensics BibRef

Ding, F.[Feng], Zhu, G.P.[Guo-Pu], Dong, W.Q.[Wei-Qiang], Shi, Y.Q.[Yun-Qing],
An efficient weak sharpening detection method for image forensics,
JVCIR(50), No. 1, 2018, pp. 93-99.
Elsevier DOI 1712
Image forensics BibRef

Feng, C., Xu, Z., Jia, S., Zhang, W., Xu, Y.,
Motion-Adaptive Frame Deletion Detection for Digital Video Forensics,
CirSysVideo(27), No. 12, December 2017, pp. 2543-2554.
IEEE DOI 1712
Forensics, Histograms, Jitter, Lighting, Motion measurement, Vibrations, Video sequences, Fluctuation feature, frame deletion, video forensics BibRef

Li, H., Luo, W., Qiu, X., Huang, J.,
Identification of Various Image Operations Using Residual-Based Features,
CirSysVideo(28), No. 1, January 2018, pp. 31-45.
IEEE DOI 1801
Cameras, Correlation, Feature extraction, Forensics, Image coding, Transform coding, Countering anti-forensics, image forensics, image residuals BibRef

Su, L., Li, C., Lai, Y., Yang, J.,
A Fast Forgery Detection Algorithm Based on Exponential-Fourier Moments for Video Region Duplication,
MultMed(20), No. 4, April 2018, pp. 825-840.
IEEE DOI 1804
Algorithm design and analysis, Computational efficiency, Detection algorithms, Feature extraction, Forensics, Forgery, region duplication BibRef

Sun, J.Y.[Jee-Young], Kim, S.W.[Seung-Wook], Lee, S.W.[Sang-Won], Ko, S.J.[Sung-Jea],
A novel contrast enhancement forensics based on convolutional neural networks,
SP:IC(63), 2018, pp. 149-160.
Elsevier DOI 1804
Digital image forensics, Contrast enhancement, Convolutional neural networks, Deep learning, Gray level co-occurrence matrix BibRef

Han, J.G.[Jong Goo], Park, T.H.[Tae Hee], Moon, Y.H.[Yong Ho], Eom, I.K.[Il Kyu],
Quantization-based Markov feature extraction method for image splicing detection,
MVA(29), No. 3, April 2018, pp. 543-552.
WWW Link. 1804
BibRef

Akhtar, Z.[Zeeshan], Khan, E.[Ekram],
Revealing the traces of histogram equalisation in digital images,
IET-IPR(12), No. 5, May 2018, pp. 760-768.
DOI Link 1804
BibRef

Iakovidou, C.[Chryssanthi], Zampoglou, M.[Markos], Papadopoulos, S.[Symeon], Kompatsiaris, Y.[Yiannis],
Content-aware detection of JPEG grid inconsistencies for intuitive image forensics,
JVCIR(54), 2018, pp. 155-170.
Elsevier DOI 1806
Image forensics, JPEG artifacts, Forgery localization, Splicing BibRef

Park, J.S.[Jin-Seok], Kim, H.G.[Hyeon-Gi], Kim, D.G.[Do-Guk], Yu, I.J.[In-Jae], Lee, H.K.[Heung-Kyu],
Paired mini-batch training: A new deep network training for image forensics and steganalysis,
SP:IC(67), 2018, pp. 132-139.
Elsevier DOI 1808
Deep learning, Deep convolutional neural networks, Mini-batch, Image forensics, Steganalysis BibRef

Yang, B.[Bin], Sun, X.M.[Xing-Ming], Cao, E.[Enguo], Hu, W.F.[Wei-Feng], Chen, X.Y.[Xian-Yi],
Convolutional neural network for smooth filtering detection,
IET-IPR(12), No. 8, August 2018, pp. 1432-1438.
DOI Link 1808
Detect smoothing that is used to hide changes. BibRef

Wang, P.[Ping], Liu, F.L.[Fen-Lin], Yang, C.F.[Chun-Fang], Luo, X.Y.[Xiang-Yang],
Blind forensics of image gamma transformation and its application in splicing detection,
JVCIR(55), 2018, pp. 80-90.
Elsevier DOI 1809
Blind forensics, Gamma transformation, Manipulation detection, Splicing, Tampered area location BibRef

Rocha, A.[Anderson], Li, S.J.[Shu-Jun], Kuo, C.C.J.[C.C. Jay], Piva, A.[Alessandro], Huang, J.W.[Ji-Wu],
Data-driven multimedia forensics and security,
JVCIR(55), 2018, pp. 447-448.
Elsevier DOI 1809
BibRef

Singh, P., Raman, B., Agarwal, N.,
Toward Encrypted Video Tampering Detection and Localization Based on POB Number System Over Cloud,
CirSysVideo(28), No. 9, September 2018, pp. 2116-2130.
IEEE DOI 1809
Cryptography, Authentication, Cloud computing, Servers, Multimedia communication, Watermarking, Streaming media, encrypted domain BibRef

Sheng, H.[Hongda], Shen, X.J.[Xuan-Jing], Lyu, Y.D.[Ying-Da], Shi, Z.[Zenan], Ma, S.Y.[Shu-Yang],
Image splicing detection based on Markov features in discrete octonion cosine transform domain,
IET-IPR(12), No. 10, October 2018, pp. 1815-1823.
DOI Link 1809
BibRef

Shi, Z.N.[Ze-Nan], Shen, X.J.[Xuan-Jing], Chen, H.P.[Hai-Peng], Lyu, Y.D.[Ying-Da],
Global Semantic Consistency Network for Image Manipulation Detection,
SPLetters(27), 2020, pp. 1755-1759.
IEEE DOI 2010
Feature extraction, Semantics, Decoding, Encoding, Convolution, Bidirectional control, Convolutional codes, deep learning BibRef

Zhu, N.[Nan], Li, Z.[Zhao],
Blind image splicing detection via noise level function,
SP:IC(68), 2018, pp. 181-192.
Elsevier DOI 1810
Image forensics, Image splicing detection, Noise level function, Noise variance estimation BibRef

Bhardwaj, D.[Dinesh], Pankajakshan, V.[Vinod],
A JPEG blocking artifact detector for image forensics,
SP:IC(68), 2018, pp. 155-161.
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Ye, J.Y.[Jing-Yu], Shen, Z.Y.[Zhang-Yi], Behrani, P.[Piyush], Ding, F.[Feng], Shi, Y.Q.[Yun-Qing],
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Image sharpening, Image forensics, Unsharp Masking, Convolutional neural network, Edge perpendicular ternary coding BibRef

Cattaneo, G.[Giuseppe], Roscigno, G.[Gianluca], Petrillo, U.F.[Umberto Ferraro],
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Image integrity, Biometric systems, Image analysis, Performance analysis, Digital image forensics, Tampered image detection BibRef

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Contrast enhancement, Convolutional neural networks, Robust forensics, Composite image, JPEG compression BibRef

Qin, C., Ji, P., Chang, C., Dong, J., Sun, X.,
Non-uniform Watermark Sharing Based on Optimal Iterative BTC for Image Tampering Recovery,
MultMedMag(25), No. 3, July 2018, pp. 36-48.
IEEE DOI 1901
Watermarking, Image coding, Image reconstruction, Authentication, Iterative decoding, Visualization, Multimedia communication, content recovery BibRef

Guan, H., Kozak, M., Robertson, E., Lee, Y., Yates, A.N., Delgado, A., Zhou, D., Kheyrkhah, T., Smith, J., Fiscus, J.,
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Authenticate a re-sampled image. image coding, image sampling, image texture, statistical analysis, statistical testing, texture weight map, hypothesis testing BibRef

Chen, Y.F.[Yi-Fang], Kang, X.G.[Xian-Gui], Shi, Y.Q.[Yun Q.], Wang, Z.J.[Z. Jane],
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Yu, J.J.[Jing-Jing], Zhan, Y.F.[Yi-Feng], Yang, J.H.[Jian-Hua], Kang, X.G.[Xian-Gui],
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Unsupervised Image Manipulation Localization With Non-Binary Label Attribution,
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IEEE DOI 1906
feature extraction, image classification, image coding, image colour analysis, image representation, image retrieval, Heating systems BibRef

Zhang, Q.[Qin], Xiao, H.M.[Hui-Mei], Xue, F.[Fei], Lu, W.[Wei], Liu, H.M.[Hong-Mei], Huang, F.J.[Fang-Jun],
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Digital image forensics, Non-uniform deblurring localization, Multi-derivative gray level co-occurrence matrix (MGLCM), Top-down multi-scale boundary fusion (TMBF) BibRef

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Transform coding, Forgery, Feature extraction, Image coding, Correlation, Mathematical model, Medical services, JPEG, recompression BibRef

Vatansever, S.[Saffet], Dirik, A.E.[Ahmet Emir], Memon, N.[Nasir],
Detecting the Presence of ENF Signal in Digital Videos: A Superpixel-Based Approach,
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Electrical network frequency. brightness, image forensics, video cameras, video signal processing, ENF signal presence detection method, BibRef

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Image Forensics Based on Lighting Estimation,
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Tariang, D.B., Chakraborty, R.S., Naskar, R.,
A Robust Residual Dense Neural Network For Countering Antiforensic Attack on Median Filtered Images,
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data compression, image classification, image coding, image filtering, image forensics, residual dense network (RDN) BibRef

Wang, J., Li, T., Luo, X., Shi, Y., Jha, S.K.,
Identifying Computer Generated Images Based on Quaternion Central Moments in Color Quaternion Wavelet Domain,
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Quaternions, Discrete wavelet transforms, Color, Image color analysis, Forensics, forensics BibRef

Qureshi, M.A.[Muhammad Ali], El-Alfy, E.S.M.[El-Sayed M.],
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Survey, Tamper Detection. Tamper detection, Perceptual image hashing, Content authenticity analysis, Security BibRef

Yang, B.[Bin], Li, Z.Y.[Zhen-Yu], Zhang, T.[Tao],
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Image forensics, Texture pattern mapping, Thresholding binary coding, Unsharp mask, Weak sharpening BibRef

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A robust JPEG compression detector for image forensics,
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JPEG compression artifacts, JPEG forensics, JPEG anti-forensics, Calibration BibRef

Hatoum, M.W.[Makram W.], Couchot, J.F.[Jean-François], Couturier, R.[Raphaël], Darazi, R.[Rony],
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Image denoising, Deep learning, Digital watermarking, Robustness, Fidelity BibRef

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Improved check bits generation, Image tampering detection, Morphological processing-based enhancement, Gauss-Jordan Elimination-Based Self-Recovery BibRef

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Chen, B.J.[Bei-Jing], Qi, X.M.[Xiao-Ming], Zhou, Y.[Yang], Yang, G.Y.[Guan-Yu], Zheng, Y.H.[Yu-Hui], Xiao, B.[Bin],
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Splicing localization, Fully convolutional network, Residual block, Residual image, Condition random field BibRef

Ding, F., Wu, H., Zhu, G., Shi, Y.Q.,
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Image forensics, Machine learning, Tools, Estimation, Parameter estimation, History, Image forensics, resampling, convolutional neural network BibRef

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ICPR21(9804-9811)
IEEE DOI 2105
Forensics, Scalability, Semantics, Metadata, Graph neural networks BibRef

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Image forensics, Image operator chain, Tampering operations identification, Decision fusion BibRef

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Image forensics, Feature extraction, Dimensionality reduction, Fusion methods, Multimodal, Machine learning, Support vector machines BibRef

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Adaptive Feature Calculation and Diagonal Mapping for Successive Recovery of Tampered Regions,
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Watermarking, Authentication, Discrete wavelet transforms, Image coding, Partitioning algorithms, Media, successive content self-recovery BibRef

Wang, X.F.[Xiao-Feng], Zhang, Q.[Qian], Jiang, C.[Chuntao], Xue, J.R.[Jian-Ru],
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Perceptual image hash, Simple linear iterative clustering, Image forging detection, Image tempering localization BibRef

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Tampering based on large differences between old and new frames. BibRef

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IEEE DOI 2108
Forgery, Visualization, Image color analysis, Convolutional neural networks, Image forensics, Distortion, local artifact detection BibRef

Amerini, I.[Irene], Anagnostopoulos, A.[Aris], Maiano, L.[Luca], Celsi, L.R.[Lorenzo Ricciardi],
Deep Learning for Multimedia Forensics,
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Elsevier DOI 2109
Image forensics, Social network, Deep learning, Provenance inference, Source identification BibRef

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Spatiotemporal Trident Networks: Detection and Localization of Object Removal Tampering in Video Passive Forensics,
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IEEE DOI 2110
Feature extraction, Forensics, Spatiotemporal phenomena, Forgery, Streaming media, Detectors, trident network BibRef

Bai, W.M.[Wei-Ming], Zhang, Z.P.[Zhi-Peng], Li, B.[Bing], Wang, P.[Pei], Li, Y.X.[Yang-Xi], Zhang, C.X.[Cong-Xuan], Hu, W.M.[Wei-Ming],
Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm,
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Dataset, Image Forensics.
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IEEE DOI 2110
Digital forensics, Security, Computational modeling, Analytical models, Decision making, Intelligent systems, category theory BibRef

Li, J.L.[Jin-Long], Yuan, X.C.[Xiao-Chen], Feng, L.[Li],
Alteration Detection of Multispectral/Hyperspectral Images Using Dual-Path Partial Recurrent Networks,
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Zhang, Y.L.[Yong-Liang], Gao, C.H.[Chen-Hao], Li, Z.W.[Zhi-Wei], Lv, Y.[Yufan], Zhu, K.[Keyi],
A method of fingermark anti-counterfeiting for forensic document identification,
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Elsevier DOI 2112
Fingermark, Forensic document, CNN, Patch-Lable, Model fusion BibRef

Mazumdar, A.[Aniruddha], Bora, P.K.[Prabin Kumar],
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Elsevier DOI 2201
Image forensics, Forgery localization, CNN, Encoder-decoder network BibRef

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Video frame deletion detection based on time-frequency analysis,
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Digital video forensics, Frame tampering detection, Nonlinear quantization, S transform BibRef

Yang, J.Q.[Jian-Quan], Zhu, G.P.[Guo-Pu], Luo, Y.[Yao], Kwong, S.[Sam], Zhang, X.P.[Xin-Peng], Zhou, Y.C.[Yi-Cong],
Forensic Analysis of JPEG-Domain Enhanced Images via Coefficient Likelihood Modeling,
CirSysVideo(32), No. 3, March 2022, pp. 1006-1019.
IEEE DOI 2203
Transform coding, Forensics, Image coding, Discrete cosine transforms, Estimation, Quantization (signal), quantization step estimation BibRef

Fernández, E.G.[Edgar González], Orozco, A.L.S.[Ana Lucila Sandoval], Villalba, L.J.G.[Luis Javier García],
Digital Video Manipulation Detection Technique Based on Compression Algorithms,
ITS(23), No. 3, March 2022, pp. 2596-2605.
IEEE DOI 2203
Correlation, Image coding, Cameras, Technological innovation, Support vector machines, Forensics, Transform coding, Compression, support vector machine BibRef

Fanfani, M.[Marco], Piva, A.[Alessandro], Colombo, C.[Carlo],
PRNU registration under scale and rotation transform based on convolutional neural networks,
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Elsevier DOI 2203
photo response nonuniformity (PRNU). Image forensics, PRNU, Deep learning, CNN, Rotation, Scale BibRef

Zhu, N.[Nan], Liu, Z.Q.[Zhi-Qin],
Recaptured image forensics based on local ternary count of high order prediction error,
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Elsevier DOI 2204
Image forensics, Recaptured image detection, Recaptured tampered image, Image credibility, Local ternary count BibRef

Qiao, T.[Tong], Luo, X.Y.[Xiang-Yang], Yao, H.W.[Hong-Wei], Shi, R.[Ran],
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Elsevier DOI 2205
Image origin forensics, Imaging procedure, Distribution model, Likelihood ratio test BibRef

Yao, Y.[Ye], Zhang, Z.[Zhuxi], Ni, X.[Xuan], Shen, Z.Y.[Zhang-Yi], Chen, L.Q.[Lin-Qiang], Xu, D.[Dawen],
CGNet: Detecting computer-generated images based on transfer learning with attention module,
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Digital forensics, Computer-generated detection, Transfer learning, Convolutional block attention module BibRef

Sun, Y.[Yu], Ni, R.R.[Rong-Rong], Zhao, Y.[Yao],
ET: Edge-Enhanced Transformer for Image Splicing Detection,
SPLetters(29), 2022, pp. 1232-1236.
IEEE DOI 2206
Image edge detection, Splicing, Transformers, Forgery, Feature extraction, Location awareness, Decoding, Image forensics, feature enhancement BibRef

Zhang, Y.L.[Yu-Lan], Zhu, G.P.[Guo-Pu], Wu, L.G.[Li-Gang], Kwong, S.[Sam], Zhang, H.L.[Hong-Li], Zhou, Y.C.[Yi-Cong],
Multi-Task SE-Network for Image Splicing Localization,
CirSysVideo(32), No. 7, July 2022, pp. 4828-4840.
IEEE DOI 2207
Splicing, Location awareness, Image edge detection, Feature extraction, Streaming media, Forgery, Transform coding, low-level feature fusion BibRef

Li, W.J.[Wen-Jie], Li, X.L.[Xiao-Long], Ni, R.R.[Rong-Rong], Zhao, Y.[Yao],
Quantization Step Estimation for JPEG Image Forensics,
CirSysVideo(32), No. 7, July 2022, pp. 4816-4827.
IEEE DOI 2207
Quantization (signal), Transform coding, Discrete cosine transforms, Estimation, Image coding, Histograms, response function BibRef

Zhang, Y.X.[Yu-Xue], Yan, Y.F.[Yun-Feng], Feng, G.R.[Guo-Rui],
Feature compensation network based on non-uniform quantization of channels for digital image global manipulation forensics,
SP:IC(107), 2022, pp. 116795.
Elsevier DOI 2208
Image manipulation detection, Convolutional neural network, Feature compensation, Importance coefficients of channel, Non-uniform quantization BibRef

Vatansever, S.[Saffet], Dirik, A.E.[Ahmet Emir], Memon, N.[Nasir],
ENF Based Robust Media Time-Stamping,
SPLetters(29), 2022, pp. 1963-1967.
IEEE DOI 2209
Electric Network Frequency. Variations give a time stamp. Media, Noise measurement, Forensics, Recording, Harmonic analysis, Estimation, Signal processing algorithms, ENF, time-stamping BibRef

Lin, X.[Xun], Wang, S.[Shuai], Deng, J.H.[Jia-Hao], Fu, Y.[Ying], Bai, X.[Xiao], Chen, X.L.[Xin-Lei], Qu, X.L.[Xiao-Lei], Tang, W.Z.[Wen-Zhong],
Image manipulation detection by multiple tampering traces and edge artifact enhancement,
PR(133), 2023, pp. 109026.
Elsevier DOI 2210
Image manipulation detection, Transformer, Edge artifact enhancement, Edge supervision BibRef

Liu, X.H.[Xiao-Hong], Liu, Y.J.[Yao-Jie], Chen, J.[Jun], Liu, X.M.[Xiao-Ming],
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization,
CirSysVideo(32), No. 11, November 2022, pp. 7505-7517.
IEEE DOI 2211
Feature extraction, Correlation, Location awareness, Splicing, Forgery, Task analysis, Estimation, attention mechanism BibRef

Gardella, M.[Marina], Musé, P.[Pablo],
Forensic Similarity for Source Camera Model Comparison,
IPOL(12), 2022, pp. 480-489.
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Image Forgery Detection via Forensic Similarity Graphs,
IPOL(12), 2022, pp. 490-500.
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Li, G.H.[Gui-Hao], Yao, H.[Heng], Le, Y.F.[Yan-Fen], Qin, C.[Chuan],
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JVCIR(90), 2023, pp. 103692.
Elsevier DOI 2301
Recaptured screen images, Image forensics, Demoiréing operation, Vision transformer, Recapture identification BibRef

Dong, C.B.[Cheng-Bo], Chen, X.R.[Xin-Ru], Hu, R.[Ruohan], Cao, J.[Juan], Li, X.R.[Xi-Rong],
MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection,
PAMI(45), No. 3, March 2023, pp. 3539-3553.
IEEE DOI 2302
Feature extraction, Image edge detection, Image segmentation, Deep learning, Semantics, Training, Task analysis, model sensitivity and specificity BibRef

Chen, X.R.[Xin-Ru], Dong, C.B.[Cheng-Bo], Ji, J.Q.[Jia-Qi], Cao, J.[Juan], Li, X.R.[Xi-Rong],
Image Manipulation Detection by Multi-View Multi-Scale Supervision,
ICCV21(14165-14173)
IEEE DOI 2203
Representation learning, Image segmentation, Sensitivity, Costs, Image edge detection, Semantics, BibRef

Lu, W.[Wei], Xu, W.B.[Wen-Bo], Sheng, Z.Q.[Zi-Qi],
An Interpretable Image Tampering Detection Approach Based on Cooperative Game,
CirSysVideo(33), No. 2, February 2023, pp. 952-962.
IEEE DOI 2302
Games, Indexes, Feature extraction, Object detection, Deep learning, Task analysis, Security, Tampering detection, interpretability, YOLO, shapley interaction index BibRef

Qi, S.[Shuren], Zhang, Y.S.[Yu-Shu], Wang, C.[Chao], Zhou, J.T.[Jian-Tao], Cao, X.C.[Xiao-Chun],
A Principled Design of Image Representation: Towards Forensic Tasks,
PAMI(45), No. 5, May 2023, pp. 5337-5354.
IEEE DOI 2304
Forensics, Task analysis, Image representation, Robustness, Complexity theory, Image forensics, Deep learning, fast Fourier transform BibRef

Rana, K.[Kapil], Singh, G.[Gurinder], Goyal, P.[Puneet],
SNRCN2: Steganalysis noise residuals based CNN for source social network identification of digital images,
PRL(171), 2023, pp. 124-130.
Elsevier DOI 2306
Image forensics, Social media networks, Steganalysis noise residuals, Convolutional neural networks BibRef

He, C.C.[Chu-Chu], Chen, Y.S.[Yun-Shu], Pan, J.[Jie], Huang, Y.[Yue], Tu, X.T.[Xiao-Tong], Ding, X.H.[Xing-Hao],
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SP:IC(116), 2023, pp. 116983.
Elsevier DOI 2307
Image forensics, Image manipulation detection, Segmentation mask attention mechanism, Fingerprint information BibRef

Fan, W.T.[Wen-Tong], Li, Z.Y.[Zhen-Yu], Li, H.[Hao], Zhang, Y.[Yi], Luo, X.Y.[Xiang-Yang],
SNENet: An adaptive stego noise extraction network using parallel dilated convolution for JPEG image steganalysis,
IET-IPR(17), No. 10, 2023, pp. 2894-2906.
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Ying, Q.C.[Qi-Chao], Zhou, H.[Hang], Qian, Z.X.[Zhen-Xing], Li, S.[Sheng], Zhang, X.P.[Xin-Peng],
Learning to Immunize Images for Tamper Localization and Self-Recovery,
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IEEE DOI 2310
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Zhang, J.Y.[Jing-Yuan], Wang, H.X.[Hong-Xia], He, P.S.[Pei-Song],
Dual-branch multi-scale densely connected network for image splicing detection and localization,
SP:IC(119), 2023, pp. 117045.
Elsevier DOI 2310
Image forensics, Image splicing detection, Deep learning, Low-level feature reuse, Pixel-wise feature fusion BibRef

Dai, C.W.[Chen-Wei], Su, L.C.[Li-Chao], Wu, B.[Bin], Chen, J.[Jian],
DS-Net: Dual supervision neural network for image manipulation localization,
IET-IPR(17), No. 12, 2023, pp. 3551-3563.
DOI Link 2310
image forensics, image processing BibRef

Zeng, Y.Y.[Yu-Yuan], Zhao, B.[Bowen], Qiu, S.Z.[Shan-Zhao], Dai, T.[Tao], Xia, S.T.[Shu-Tao],
Toward Effective Image Manipulation Detection With Proposal Contrastive Learning,
CirSysVideo(33), No. 9, September 2023, pp. 4703-4714.
IEEE DOI Code:
WWW Link. 2310
BibRef

Shi, Z.[Zenan], Chen, H.P.[Hai-Peng], Zhang, D.[Dong],
Transformer-Auxiliary Neural Networks for Image Manipulation Localization by Operator Inductions,
CirSysVideo(33), No. 9, September 2023, pp. 4907-4920.
IEEE DOI 2310
BibRef

Xu, D.Y.[Deng-Yun], Shen, X.J.[Xuan-Jing], Lyu, Y.D.[Ying-Da],
UP-Net: Uncertainty-Supervised Parallel Network for Image Manipulation Localization,
CirSysVideo(33), No. 11, November 2023, pp. 6390-6403.
IEEE DOI 2311
BibRef

Li, F.Y.[Feng-Yong], Pei, Z.J.[Zhen-Jia], Zhang, X.P.[Xin-Peng], Qin, C.[Chuan],
Image Manipulation Localization Using Multi-Scale Feature Fusion and Adaptive Edge Supervision,
MultMed(25), 2023, pp. 7851-7866.
IEEE DOI 2312
BibRef

Thabit, R.[Rasha],
A novel blind tamper detection and localization scheme for multiple faces in digital images,
IET-IPR(17), No. 14, 2023, pp. 3938-3958.
DOI Link 2312
multiple faces authentication, multiple faces detection, multiple faces security, tamper detection for multiple faces, tamper localization for multiple faces BibRef

Wang, H.R.[Hao-Ran], Deng, J.H.[Jia-Hao], Lin, X.[Xun], Tang, W.Z.[Wen-Zhong], Wang, S.[Shuai],
CDS-Net: Cooperative dual-stream network for image manipulation detection,
PRL(176), 2023, pp. 167-173.
Elsevier DOI 2312
Image manipulation detection, Dual-stream framework, Cooperating, Feature interaction BibRef

Li, Y.M.[Yuan-Man], Hu, L.P.[Liang-Pei], Dong, L.[Li], Wu, H.W.[Hai-Wei], Tian, J.[Jinyu], Zhou, J.T.[Jian-Tao], Li, X.[Xia],
Transformer-Based Image Inpainting Detection via Label Decoupling and Constrained Adversarial Training,
CirSysVideo(34), No. 3, March 2024, pp. 1857-1872.
IEEE DOI 2403
Transformers, Training, Forensics, Forgery, Image edge detection, Task analysis, Convolution, Inpainting forensics, deep neural networks BibRef

Xu, Y.Z.[Yan-Zhi], Zheng, J.B.[Jiang-Bin], Ren, J.C.[Jin-Chang], Fang, A.[Aiqing],
Feature Aggregation and Region-Aware Learning for Detection of Splicing Forgery,
SPLetters(31), 2024, pp. 696-700.
IEEE DOI 2403
Feature extraction, Correlation, Transformers, Learning systems, Forgery, Training, Splicing, Image forgery detection, region-aware learning BibRef

Zhu, H.C.[Hao-Chen], Cao, G.[Gang], Zhao, M.[Mo], Tian, H.[Huawei], Lin, W.G.[Wei-Guo],
Effective image tampering localization with multi-scale ConvNeXt feature fusion,
JVCIR(98), 2024, pp. 103981.
Elsevier DOI Code:
WWW Link. 2402
Image forensics, Tampering localization, Encoder and decoder, ConvNeXt, Multi-scale feature fusion BibRef

Song, H.X.[Hao-Xian], Wang, Z.[Zichi], Zhang, X.P.[Xin-Peng],
Identification of the Original Images,
JVCIR(98), 2024, pp. 104017.
Elsevier DOI 2402
Original images, Deep network models, Variant images BibRef

Bergmann, S.[Sandra], Moussa, D.[Denise], Brand, F.[Fabian], Kaup, A.[André], Riess, C.[Christian],
Forensic analysis of AI-compression traces in spatial and frequency domain,
PRL(180), 2024, pp. 41-47.
Elsevier DOI 2404
AI-based compression, Image forensics, Frequency analysis, Autocorrelation BibRef

Abady, L.[Lydia], Wang, J.[Jun], Tondi, B.[Benedetta], Barni, M.[Mauro],
A siamese-based verification system for open-set architecture attribution of synthetic images,
PRL(180), 2024, pp. 75-81.
Elsevier DOI 2404
Synthetic image manipulation, Deep learning for forensics, Source attribution, Open-set classification/recognition, Siamese networks BibRef

Magistri, S.[Simone], Baracchi, D.[Daniele], Shullani, D.[Dasara], Bagdanov, A.D.[Andrew D.], Piva, A.[Alessandro],
Continual learning for adaptive social network identification,
PRL(180), 2024, pp. 82-89.
Elsevier DOI 2404
Continual learning, Social network identification, Multimedia forensics BibRef

Chen, C.S.[Chang-Sheng], Li, X.J.[Xi-Jin], Chen, B.Y.[Bao-Ying], Li, H.D.[Hao-Dong],
A distortion model guided adversarial surrogate for recaptured document detection,
PR(151), 2024, pp. 110433.
Elsevier DOI 2404
Presentation attack, Recapturing distortion, Adversarial training BibRef

Lee, C.W.[Che-Wei],
A distortion-free authentication method for color images with tampering localization and self-recovery,
SP:IC(124), 2024, pp. 117116.
Elsevier DOI 2405
Image tampering detection, Data security, Watermarking, Image forensics BibRef

Zhang, Z.[Zeyu], Zhao, X.F.[Xian-Feng], Cao, Y.[Yun],
Unveiling tampering traces: Enhancing image reconstruction errors for visualization,
JVCIR(100), 2024, pp. 104125.
Elsevier DOI 2405
Digital image forensics, Reconstruction Error, Mixed generator, Tampering localization, Latent features BibRef

Wang, H.[Hao], Wang, J.[Jinwei], Zhang, J.W.[Jia-Wei], Luo, X.Y.[Xiang-Yang], Ma, B.[Bin], Li, B.[Bin], Sun, J.S.[Jin-Sheng],
General Forensics for Aligned Double JPEG Compression Based on the Quantization Interference,
CirSysVideo(34), No. 6, June 2024, pp. 5191-5206.
IEEE DOI 2406
Image coding, Transform coding, Quantization (signal), Interference, Finite wordlength effects, Convergence, aligned JPEG double compression BibRef

Cao, G.[Gang], Wang, Y.Q.[Yu-Qi], Zhu, H.C.[Hao-Chen], Lou, Z.J.[Zi-Jie], Yu, L.F.[Li-Fang],
Transferable adversarial attack on image tampering localization,
JVCIR(102), 2024, pp. 104210.
Elsevier DOI Code:
WWW Link. 2407
Anti-forensics, Adversarial example, Optimization-based adversarial attack, Image tampering localization BibRef

Liu, W.H.[Wei-Huang], Cun, X.D.[Xiao-Dong], Pun, C.M.[Chi-Man],
DH-GAN: Image manipulation localization via a dual homology-aware generative adversarial network,
PR(155), 2024, pp. 110658.
Elsevier DOI 2408
Image manipulation localization, Selective atrous pyramid, Adversarial learning, Masked convolution BibRef

Niu, Y.K.[Ya-Kun], Tan, L.[Lei], Zhang, L.[Lei], Chen, Y.J.[Ying-Jian], Zuo, X.Y.[Xian-Yu],
Attention-Based Dual-Domain Fusion Network for Median Filtering Forensics,
SPLetters(31), 2024, pp. 1860-1864.
IEEE DOI 2408
Feature extraction, Frequency-domain analysis, Convolution, Forensics, Discrete cosine transforms, Kernel, Fuses, median filtering detection BibRef

Ding, X.L.[Xiang-Ling], Zhao, Y.L.[Yu-Lin], Gu, Q.[Qing], Zhang, D.Y.[Deng-Yong], Yang, G.[Gaobo],
ERaL: Exceptional Regions-Aware Deep Video Interpolation Localization,
SPLetters(31), 2024, pp. 1885-1889.
IEEE DOI 2408
Location awareness, Feature extraction, Forensics, Interpolation, Transformers, Training, Forgery, Deep video frame interpolation, video forensics BibRef

Li, M.Q.[Meng-Qi], Hu, Y.P.[Yan-Peng], Guo, J.[Jin],
Tampering Attack Detection for Remote State Estimation With Quantized Observations,
SPLetters(31), 2024, pp. 2185-2189.
IEEE DOI 2409
Estimation, State estimation, Technological innovation, Detectors, Signal processing algorithms, Sensors, Cyberattack, state estimation BibRef

Tailanián, M.[Matías], Gardella, M.[Marina], Pardo, A.[Alvaro], Musé, P.[Pablo],
Diffusion models meet image counter-forensics,
WACV24(3913-3923)
IEEE DOI Code:
WWW Link. 2404
Image sensors, Purification, Forensics, Source coding, Pipelines, Watermarking, Algorithms, Adversarial learning BibRef

Nguyen, T.D.[Tai D.], Fang, S.[Shengbang], Stamm, M.C.[Matthew C.],
VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces,
WACV24(8548-8558)
IEEE DOI Code:
WWW Link. 2404
Video coding, Training, Image forensics, Codes, Forensics, Forgery, Applications, Social good BibRef

Zhai, Y.H.[Yuan-Hao], Luan, T.Y.[Tian-Yu], Doermann, D.[David], Yuan, J.S.[Jun-Song],
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning,
ICCV23(22333-22343)
IEEE DOI 2401
BibRef

Sun, Z.H.[Zhi-Hao], Jiang, H.R.[Hao-Ran], Wang, D.[Danding], Li, X.R.[Xi-Rong], Cao, J.[Juan],
SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection,
ICCV23(22367-22376)
IEEE DOI 2401
BibRef

Hu, X.X.[Xiao-Xiao], Ying, Q.C.[Qi-Chao], Qian, Z.X.[Zhen-Xing], Li, S.[Sheng], Zhang, X.P.[Xin-Peng],
DRAW: Defending Camera-shooted RAW against Image Manipulation,
ICCV23(22377-22387)
IEEE DOI 2401
BibRef

Ji, K.X.[Kai-Xiang], Chen, F.[Feng], Guo, X.[Xin], Xu, Y.D.[Ya-Dong], Wang, J.[Jian], Chen, J.D.[Jing-Dong],
Uncertainty-guided Learning for Improving Image Manipulation Detection,
ICCV23(22399-22408)
IEEE DOI 2401
BibRef

Feng, X.[Xin], Xu, Y.F.[Yi-Feng], Lu, G.M.[Guang-Ming], Pei, W.J.[Wen-Jie],
Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection,
ICCV23(12042-12051)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zhou, J.Z.[Ji-Zhe], Ma, X.C.[Xiao-Chen], Du, X.[Xia], Alhammadi, A.Y.[Ahmed Y.], Feng, W.T.[Wen-Tao],
Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning,
ICCV23(22289-22299)
IEEE DOI Code:
WWW Link. 2401
BibRef

Fernandes, P.[Pedro], Ciardhuáin, S.Ó.[Séamus Ó.], Antunes, M.[Mário],
Uncovering Manipulated Files Using Mathematical Natural Laws,
CIARP23(I:46-62).
Springer DOI 2312
BibRef

Niloy, F.F.[Fahim Faisal], Bhaumik, K.K.[Kishor Kumar], Woo, S.S.[Simon S.],
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation,
ICIP23(3165-3169)
IEEE DOI 2312
BibRef

Xiang, Z.Y.[Zi-Yue], Yadav, A.K.S.[Amit Kumar Singh], Bestagini, P.[Paolo], Tubaro, S.[Stefano], Delp, E.J.[Edward J.],
MTN: Forensic Analysis of MP4 Video Files Using Graph Neural Networks,
WMF23(963-972)
IEEE DOI 2309
BibRef

Jia, S.[Shan], Huang, M.Z.[Ming-Zhen], Zhou, Z.[Zhou], Ju, Y.[Yan], Cai, J.L.[Jia-Ling], Lyu, S.W.[Si-Wei],
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics,
WMF23(893-903)
IEEE DOI 2309
BibRef

Asnani, V.[Vishal], Yin, X.[Xi], Hassner, T.[Tal], Liu, X.M.[Xiao-Ming],
MaLP: Manipulation Localization Using a Proactive Scheme,
CVPR23(12343-12352)
IEEE DOI 2309
BibRef

Siopi, M.[Maria], Kordopatis-Zilos, G.[Giorgos], Charitidis, P.[Polychronis], Kompatsiaris, I.[Ioannis], Papadopoulos, S.[Symeon],
A Multi-stream Fusion Network for Image Splicing Localization,
MMMod23(II: 611-622).
Springer DOI 2304
BibRef

Asnani, V.[Vishal], Yin, X.[Xi], Hassner, T.[Tal], Liu, S.[Sijia], Liu, X.M.[Xiao-Ming],
Proactive Image Manipulation Detection,
CVPR22(15365-15374)
IEEE DOI 2210
Training, Codes, Cameras, Pattern recognition, Detection algorithms, Adversarial attack and defense, Low-level vision BibRef

Watanabe, Y.[Yuto], Togo, R.[Ren], Maeda, K.[Keisuke], Ogawa, T.[Takahiro], Haseyama, M.[Miki],
Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction,
ICIP22(1046-1050)
IEEE DOI 2211
Measurement, Natural languages, Text-guided image manipulation, generative adversarial network, evaluation metric, manipulation direction BibRef

Ying, Q.C.[Qi-Chao], Hu, X.X.[Xiao-Xiao], Zhang, X.Y.[Xiang-Yu], Qian, Z.X.[Zhen-Xing], Li, S.[Sheng], Zhang, X.P.[Xin-Peng],
RWN: Robust Watermarking Network for Image Cropping Localization,
ICIP22(301-305)
IEEE DOI 2211
Location awareness, Social networking (online), Pipelines, Layout, Transform coding, Watermarking, Feature extraction, watermarking BibRef

Caldelli, R.[Roberto], Carrara, F.[Fabio], Falchi, F.[Fabrizio],
Tuning Neural ODE Networks to Increase Adversarial Robustness in Image Forensics,
ICIP22(1496-1500)
IEEE DOI 2211
Deep learning, Image forensics, Neural networks, Ordinary differential equations, Robustness, Security, Adversarial Samples BibRef

Manisha, Li, C.T.[Chang-Tsun], Kotegar, K.A.[Karunakar A.],
A Multi-Scale Content-Insensitive Fusion CNN for Source Social Network Identification,
ICIP22(2981-2985)
IEEE DOI 2211
Training, Representation learning, Image forensics, Social networking (online), Neural networks, convolutional neural network BibRef

Mandelli, S.[Sara], Bonettini, N.[Nicolò], Bestagini, P.[Paolo], Tubaro, S.[Stefano],
Detecting GAN-Generated Images by Orthogonal Training of Multiple CNNs,
ICIP22(3091-3095)
IEEE DOI 2211
Training, Industries, Deep learning, Detectors, Motion pictures, Generators, Image forensics, synthetic images, GAN, CNN BibRef

Chandrasegaran, K.[Keshigeyan], Tran, N.T.[Ngoc-Trung], Binder, A.[Alexander], Cheung, N.M.[Ngai-Man],
Discovering Transferable Forensic Features for CNN-Generated Images Detection,
ECCV22(XV:671-689).
Springer DOI 2211
BibRef

Wang, J.[Junke], Wu, Z.[Zuxuan], Chen, J.J.[Jing-Jing], Han, X.T.[Xin-Tong], Shrivastava, A.[Abhinav], Lim, S.N.[Ser-Nam], Jiang, Y.G.[Yu-Gang],
ObjectFormer for Image Manipulation Detection and Localization,
CVPR22(2354-2363)
IEEE DOI 2210
Location awareness, Visualization, Frequency-domain analysis, Computational modeling, Prototypes, Feature extraction, retrieval BibRef

Ghizlane, H.[Hnini], Jamal, R.[Riffi], Mahraz, M.A.[Mohamed Adnane], Ali, Y.[Yahyaouy], Hamid, T.[Tairi],
Spam image detection based on convolutional block attention module,
ISCV22(1-4)
IEEE DOI 2208
Deep learning, Recurrent neural networks, Filtering, Unsolicited e-mail, Image edge detection, Feature extraction, CBAM BibRef

Aumayr, D.[Daniel], Schöttle, P.[Pascal],
U Can't (re)Touch This: A Deep Learning Approach for Detecting Image Retouching,
CIAP22(II:127-138).
Springer DOI 2205
BibRef

Moreira, T.P.[Thierry P.], Santana, M.C.S.[Marcos Cleison S.], Passos, L.A.[Leandro A.], Papa, J.P.[João Paulo], da Costa, K.A.P.[Kelton Augusto P.],
An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks,
IbPRIA22(447-457).
Springer DOI 2205
BibRef

Sabir, E.[Ekraam], Nandi, S.[Soumyaroop], AbdAlmageed, W.[Wael], Natarajan, P.[Prem],
BioFors: A Large Biomedical Image Forensics Dataset,
ICCV21(10943-10953)
IEEE DOI 2203
Social networking (online), Forensics, Microscopy, Benchmark testing, Task analysis, Fake news, and cell microscopy BibRef

Bammey, Q.[Quentin], Nikoukhah, T.[Tina], Gardella, M.[Marina], von Gioi, R.G.[Rafael Grompone], Colom, M.[Miguel], Morel, J.M.[Jean-Michel],
Non-Semantic Evaluation of Image Forensics Tools: Methodology and Database,
WACV22(2383-2392)
IEEE DOI 2202
Image forensics, Image coding, Databases, Splicing, Semantics, Pipelines, Transform coding, Datasets, Evaluation and Comparison of Vision Algorithms Image Forensics BibRef

Pessoa, R.[Rodrigo], Kokaram, A.[Anil], Pitie, F.[Francois], Sugrue, M.[Mark],
CNN-Based Video Codec Classifier for Multimedia Forensics,
ICIP21(3033-3037)
IEEE DOI 2201
Forensics, Image processing, User-generated content, Streaming media, Fingerprint recognition, decoding BibRef

Bahat, Y.[Yuval], Michaeli, T.[Tomer],
What's in the Image? Explorable Decoding of Compressed Images,
CVPR21(2907-2916)
IEEE DOI 2111
Visualization, Image coding, Codes, Forensics, Transform coding, Tools, Propagation losses BibRef

Xiang, Z.Y.[Zi-Yue], Horváth, J.[János], Baireddy, S.[Sriram], Bestagini, P.[Paolo], Tubaro, S.[Stefano], Delp, E.J.[Edward J.],
Forensic Analysis of Video Files Using Metadata,
WMF21(1042-1051)
IEEE DOI 2109
Dimensionality reduction, Social networking (online), Forensics, Metadata, Tools, Streaming media, Media BibRef

Kwon, M.J.[Myung-Joon], Yu, I.J.[In-Jae], Nam, S.H.[Seung-Hun], Lee, H.K.[Heung-Kyu],
CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing,
WACV21(375-384)
IEEE DOI 2106
Location awareness, Visualization, Image coding, Splicing, Forensics, Transform coding, Streaming media BibRef

Yin, Q.[Qilin], Wang, J.[Jinwei], Luo, X.Y.[Xiang-Yang],
A Hybrid Loss Network for Localization of Image Manipulation,
IWDW20(237-247).
Springer DOI 2103
BibRef

Zeng, H.[Hui], Deng, K.[Kang], Peng, A.[Anjie],
ISO Setting Estimation Based on Convolutional Neural Network and its Application in Image Forensics,
IWDW20(224-236).
Springer DOI 2103
BibRef

Zhao, J.J.[Jun-Jie], Wang, J.W.[Jin-Wei],
Lightweight DCT-Like Domain Forensics Model for Adversarial Example,
IWDW20(265-279).
Springer DOI 2103
BibRef

Camacho, I.C.[Ivan Castillo], Wang, K.[Kai],
Data-dependent Scaling of CNN's First Layer for Improved Image Manipulation Detection,
IWDW20(208-223).
Springer DOI 2103
BibRef

Reichman, B.[Benjamin], Jing, L.L.[Long-Long], Akin, O.[Oguz], Tian, Y.[Yingli],
Medical Image Tampering Detection: A New Dataset and Baseline,
AIHA20(266-277).
Springer DOI 2103
BibRef

Berthet, A., Dugelay, J.L.,
A review of data preprocessing modules in digital image forensics methods using deep learning,
VCIP20(281-284)
IEEE DOI 2102
Deep learning, Forgery, Cameras, Histograms, Discrete cosine transforms, Digital images, Feature extraction BibRef

Ghosh, A., Zhong, Z., Cruz, S., Veeravasarapu, S., Singh, M., Boult, T.E.,
Infoprint: Information Theoretic Digital Image Forensics,
ICIP20(638-642)
IEEE DOI 2011
Semantics, Cameras, Task analysis, Training, Computer architecture, Convolutional codes, Digital image forensics, variational inference BibRef

Maier, A., Lorch, B., Riess, C.,
Toward Reliable Models For Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks,
ICIP20(1251-1255)
IEEE DOI 2011
Bayes methods, Neural networks, Forensics, Uncertainty, Training, Learning systems, Standards, digital image forensics, reliability, resampling detection BibRef

Rouis, K., Gomez-Krämer, P., Coustaty, M.,
Local Geometry Analysis For Image Tampering Detection,
ICIP20(2551-2555)
IEEE DOI 2011
Geometry, Image color analysis, Image edge detection, Transforms, Feature extraction, Quaternions, Color, Image hashing, image gradient BibRef

Rabah, C.B., Coatrieux, G., Abdelfattah, R.,
The Supatlantique Scanned Documents Database for Digital Image Forensics Purposes,
ICIP20(2096-2100)
IEEE DOI 2011
Forensics, Databases, Charge coupled devices, Image resolution, Digital images, Internet, Cameras, Scanner source identification, image security BibRef

Hu, X.F.[Xue-Feng], Zhang, Z.H.[Zhi-Han], Jiang, Z.Y.[Zhen-Ye], Chaudhuri, S.[Syomantak], Yang, Z.H.[Zhen-Heng], Nevatia, R.[Ram],
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization,
ECCV20(XXI:312-328).
Springer DOI 2011
ocalization of multiple types of image manipulations. BibRef

Bammey, Q., von Gioi, R.G., Morel, J.,
An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics,
CVPR20(14182-14192)
IEEE DOI 2008
Forgery, Image color analysis, Transform coding, Neural networks, Databases, Splicing, Image coding BibRef

Hosier, B.C., Stamm, M.C.,
Detecting Video Speed Manipulation,
WMF20(2860-2869)
IEEE DOI 2008
Encoding, Switched mode power supplies, Forensics, Software, Indexes, Face, Presses BibRef

Jain, A., Majumdar, P., Singh, R., Vatsa, M.,
Detecting GANs and Retouching based Digital Alterations via DAD-HCNN,
WMF20(2870-2879)
IEEE DOI 2008
Face, Support vector machines, Training, Convolutional neural networks, Generative adversarial networks, Task analysis BibRef

Andujar, R.[Rabindranath], Peletier, I.[Ignacio], Oliva, J.[Jesus], Cymontkowski, M.[Marc], Fu, Y.[Yondon], Tang, E.[Eric], Allman, J.[Josh],
Video Tampering Detection for Decentralized Video Transcoding Networks,
ICIAR20(I:316-327).
Springer DOI 2007
BibRef

Novozámský, A., Mahdian, B., Saic, S.,
IMD2020: A Large-Scale Annotated Dataset Tailored for Detecting Manipulated Images,
WACVWS20(71-80)
IEEE DOI 2006
Cameras, Visualization, Quantization (signal), Image forensics, Image color analysis, Image coding BibRef

Pourreza, R., Ghodrati, A., Habibian, A.,
Recognizing Compressed Videos: Challenges and Promises,
RLQ19(999-1007)
IEEE DOI 2004
data compression, feature extraction, video coding, visual quality, smoothing discriminative features, perceptual quality, GAN BibRef

Nam, S., Ahn, W., Mun, S., Park, J., Kim, D., Yu, I., Lee, H.,
Content-Aware Image Resizing Detection Using Deep Neural Network,
ICIP19(106-110)
IEEE DOI 1910
Forensics, Content-aware image resizing, Seam carving, Seam insertion, Convolutional neural networks BibRef

Giudice, O., Guarnera, L., Paratore, A.B., Farinella, G.M., Battiato, S.,
Siamese Ballistics Neural Network,
ICIP19(4045-4049)
IEEE DOI 1910
Image Forensics, Siamese Network BibRef

Niyitegeka, D.[David], Coatrieux, G.[Gouenou], Bellafqira, R.[Reda], Genin, E.[Emmanuelle], Franco-Contreras, J.[Javier],
Dynamic Watermarking-Based Integrity Protection of Homomorphically Encrypted Databases: Application to Outsourced Genetic Data,
IWDW18(151-166).
Springer DOI 1905
BibRef

Ye, J.Y.[Jing-Yu], Shi, Y.X.[Yu-Xi], Xu, G.S.[Guan-Shuo], Shi, Y.Q.[Yun-Qing],
A Convolutional Neural Network Based Seam Carving Detection Scheme for Uncompressed Digital Images,
IWDW18(3-13).
Springer DOI 1905
BibRef

Tambo, A., Albright, M., Mccloskey, S.,
Low-and Semantic-Level Cues for Forensic Splice Detection,
WACV19(1664-1672)
IEEE DOI 1904
feature extraction, image forensics, learning (artificial intelligence), object detection BibRef

Zampoglou, M.[Markos], Markatopoulou, F.[Foteini], Mercier, G.[Gregoire], Touska, D.[Despoina], Apostolidis, E.[Evlampios], Papadopoulos, S.[Symeon], Cozien, R.[Roger], Patras, I.[Ioannis], Mezaris, V.[Vasileios], Kompatsiaris, I.[Ioannis],
Detecting Tampered Videos with Multimedia Forensics and Deep Learning,
MMMod19(I:374-386).
Springer DOI 1901
BibRef

Diallo, B.[Boubacar], Urruty, T.[Thierry], Bourdon, P.[Pascal], Fernandez-Maloigne, C.[Christine],
Improving Robustness of Image Tampering Detection for Compression,
MMMod19(I:387-398).
Springer DOI 1901
BibRef

Cruz, F.[Francisco], Sidère, N.[Nicolas], Coustaty, M.[Mickaël], d’Andecy, V.P.[Vincent Poulain], Ogier, J.M.[Jean-Marc],
Categorization of Document Image Tampering Techniques and How to Identify Them,
IWCF18(117-124).
Springer DOI 1901
BibRef

Zhou, P., Han, X., Morariu, V.I., Davis, L.S.,
Learning Rich Features for Image Manipulation Detection,
CVPR18(1053-1061)
IEEE DOI 1812
Streaming media, Feature extraction, Kernel, Splicing, Visualization, Object detection, Image forensics BibRef

Annadani, Y., Jawahar, C.V.,
Augment and Adapt: A Simple Approach to Image Tampering Detection,
ICPR18(2983-2988)
IEEE DOI 1812
Semantics, Task analysis, Software, Training, Convolutional neural networks, Image segmentation, Splicing BibRef

Lin, L., Chen, W., Wang, Y., Reinder, S., Guan, Y., Newman, J., Wu, M.,
The Impact of Exposure Settings in Digital Image Forensics,
ICIP18(540-544)
IEEE DOI 1809
ISO, Cameras, ISO Standards, Forensics, Error analysis, Digital images, Training, Digital Image Forensics, Steganalysis, PRNU, ISO BibRef

Pinto, A., Moreira, D., Bharati, A., Brogan, J., Bowyer, K.W., Flynn, P.J., Scheirer, W., Rocha, A.,
Provenance filtering for multimedia phylogeny,
ICIP17(1502-1506)
IEEE DOI 1803
Filtering, Forensics, Indexing, Multimedia communication, Phylogeny, Robustness, Task analysis, Multimedia Phylogeny, Phylogeny Graph, Provenance Filtering BibRef

Bharati, A., Moreira, D., Pinto, A., Brogan, J., Bowyer, K.W., Flynn, P.J., Scheirer, W., Rocha, A.,
U-Phylogeny: Undirected provenance graph construction in the wild,
ICIP17(1517-1521)
IEEE DOI 1803
Buildings, Measurement, Media, Multimedia communication, Phylogeny, Vegetation, Visualization, Image Phylogeny, Media Forensics, Undirected Phylogeny Graph BibRef

Wengrowski, E., Sun, Z.H., Hoogs, A.,
Reflection correspondence for exposing photograph manipulation,
ICIP17(4317-4321)
IEEE DOI 1803
Dinosaurs, Feature extraction, Image color analysis, Lighting, Robustness, Surface treatment, Transforms BibRef

Brogan, J., Bestagini, P., Bharati, A., Pinto, A., Moreira, D., Bowyer, K.W., Flynn, P.J., Rocha, A., Scheirer, W.,
Spotting the difference: Context retrieval and analysis for improved forgery detection and localization,
ICIP17(4078-4082)
IEEE DOI 1803
Databases, Forgery, Image color analysis, Image forensics, Probes, Splicing, Task analysis, context-aware digital forensics, tampering heat maps BibRef

Bappy, J.H.[Jawadul H.], Roy-Chowdhury, A.K.[Amit K.], Bunk, J.[Jason], Nataraj, L.[Lakshmanan], Manjunath, B.S.,
Exploiting Spatial Structure for Localizing Manipulated Image Regions,
ICCV17(4980-4989)
IEEE DOI 1802
Only the tampered with regions. backpropagation, feature extraction, feedforward neural nets, image classification, image resolution, image segmentation, Visualization BibRef

Goli, M.S., Naghsh, A.,
Introducing a new method robust against crop attack in digital image watermarking using two-step sudoku,
IPRIA17(237-242)
IEEE DOI 1712
game theory, image reconstruction, image segmentation, image watermarking, crop attack, digital image watermarking, sudoku BibRef

Behravan, B., Naghsh, A.,
Introducing a new method of image reconstruction against crop attack using sudoku watermarking algorithm,
IPRIA17(177-181)
IEEE DOI 1712
data protection, image coding, image reconstruction, image watermarking, LSB, Sudoku watermarking algorithm, watermarking of image BibRef

Maigrot, C.[Cedric], Kijak, E.[Ewa], Sicre, R.[Ronan], Claveau, V.[Vincent],
Tampering Detection and Localization in Images from Social Networks: A CBIR Approach,
CIAP17(I:750-761).
Springer DOI 1711
BibRef

Cozzolino, D.[Davide], Marra, F.[Francesco], Poggi, G.[Giovanni], Sansone, C.[Carlo], Verdoliva, L.[Luisa],
PRNU-Based Forgery Localization in a Blind Scenario,
CIAP17(II:569-579).
Springer DOI 1711
BibRef

Chen, C., McCloskey, S.[Scott], Yu, J.,
Image Splicing Detection via Camera Response Function Analysis,
CVPR17(1876-1885)
IEEE DOI 1711
Cameras, Forgery, Image edge detection, Nonlinear optics, Optical imaging, Splicing, Tools BibRef

Bondi, L., Lameri, S., Güera, D., Bestagini, P., Delp, E.J., Tubaro, S.,
Tampering Detection and Localization Through Clustering of Camera-Based CNN Features,
MedForen17(1855-1864)
IEEE DOI 1709
Cameras, Feature extraction, Forgery, Image coding, Neurons, Transform, coding BibRef

Chen, B.C., Davis, L.S.,
Deep Representation Learning for Metadata Verification,
IVF19(73-82)
IEEE DOI 1902
Metadata, Task analysis, Training, Visualization, Neural networks, Probes, Image recognition BibRef

Chen, B.C., Ghosh, P., Morariu, V.I., Davis, L.S.,
Detection of Metadata Tampering Through Discrepancy Between Image Content and Metadata Using Multi-task Deep Learning,
MedForen17(1872-1880)
IEEE DOI 1709
Cameras, Humidity, Metadata, Predictive models, Sun, Training BibRef

Bolles, R., Burns, J.B., Graciarena, M., Kathol, A., Lawson, A., McLaren, M., Mensink, T.,
Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video,
MedForen17(1907-1914)
IEEE DOI 1709
Acoustics, Face, Feature extraction, Lips, Semantics, Speech, Visualization BibRef

Asaad, A.[Aras], Jassim, S.[Sabah],
Topological Data Analysis for Image Tampering Detection,
IWDW17(136-146).
Springer DOI 1708
BibRef

Choi, H.Y., Jang, H.U., Kim, D., Son, J., Mun, S.M., Choi, S., Lee, H.K.,
Detecting composite image manipulation based on deep neural networks,
WSSIP17(1-5)
IEEE DOI 1707
Computer architecture, Convolution, Feature extraction, Forensics, Machine learning, Training, Composite manipulation detection, Convolutional neural networks, Deep learning, Multimedia, forensics BibRef