Cucchiara, R.[Rita],
Prati, A.[Andrea],
Vezzani, R.[Roberto],
A system for automatic face obscuration for privacy purposes,
PRL(27), No. 15, November 2006, pp. 1809-1815.
Elsevier DOI
0609
Consistent labelling; People tracking; Face detection; Multi-camera tracking
BibRef
Agrawal, P.[Prachi],
Narayanan, P.J.,
Person De-Identification in Videos,
CirSysVideo(21), No. 3, March 2011, pp. 299-310.
IEEE DOI
1104
BibRef
Earlier:
ACCV09(III: 266-276).
Springer DOI
0909
Detect and track people in the video to obscure identity, not
remove the person from the video.
BibRef
Mrityunjay, M.,
Narayanan, P.J.,
The De-Identification Camera,
NCVPRIPG11(192-195).
IEEE DOI
1205
BibRef
Rashwan, H.A.[Hatem A.],
García, M.A.[Miguel Angel],
Martínez-Ballesté, A.[Antoni],
Puig, D.[Domènec],
Defeating face de-identification methods based on DCT-block scrambling,
MVA(27), No. 2, February 2016, pp. 251-262.
Springer DOI
1602
BibRef
Ribaric, S.[Slobodan],
Ariyaeeinia, A.[Aladdin],
Pavesic, N.[Nikola],
De-identification for privacy protection in multimedia content:
A survey,
SP:IC(47), No. 1, 2016, pp. 131-151.
Elsevier DOI
1610
Survey, Biometrics Privacy. Privacy
BibRef
Nousi, P.[Paraskevi],
Papadopoulos, S.[Sotirios],
Tefas, A.[Anastasios],
Pitas, I.[Ioannis],
Deep autoencoders for attribute preserving face de-identification,
SP:IC(81), 2020, pp. 115699.
Elsevier DOI
1912
Face de-identification, Attribute preservation, Deep learning, Autoencoders
BibRef
Youm, H.Y.[Heung Youl],
An Overview of De-Identification Techniques and Their Standardization
Directions,
IEICE(E103-D), No. 7, July 2020, pp. 1448-1461.
WWW Link.
2007
BibRef
Li, Y.X.[Yong-Xiang],
Lu, Q.W.[Qian-Wen],
Tao, Q.C.[Qing-Chuan],
Zhao, X.B.[Xing-Bo],
Yu, Y.M.[Yan-Mei],
SF-GAN: Face De-Identification Method Without Losing Facial Attribute
Information,
SPLetters(28), 2021, pp. 1345-1349.
IEEE DOI
2107
Faces, Face recognition, Facial features,
Generative adversarial networks, Information retrieval,
facial attribute information
BibRef
Proença, H.[Hugo],
The UU-Net: Reversible Face De-Identification for Visual Surveillance
Video Footage,
CirSysVideo(32), No. 2, February 2022, pp. 496-509.
IEEE DOI
2202
Faces, Streaming media, Surveillance, Image reconstruction,
Data models, Photorealism, Generators, Visual surveillance,
security and forensics
BibRef
Parashar, A.[Anubha],
Shekhawat, R.S.[Rajveer Singh],
Protection of gait data set for preserving its privacy in deep
learning pipeline,
IET-Bio(11), No. 6, 2022, pp. 557-569.
DOI Link
2212
de-identification, gait anonymization, gait biometric, privacy,
reversible deep learning pipeline
BibRef
Wen, Y.Q.[Yun-Qian],
Liu, B.[Bo],
Cao, J.Y.[Jing-Yi],
Xie, R.[Rong],
Song, L.[Li],
Li, Z.[Zhu],
IdentityMask: Deep Motion Flow Guided Reversible Face Video
De-Identification,
CirSysVideo(32), No. 12, December 2022, pp. 8353-8367.
IEEE DOI
2212
Face recognition, Privacy, Face recognition,
Social networking (online), Urban areas, Training data, security and forensics
BibRef
Zhang, Y.F.[Yao-Fang],
Fang, Y.C.[Yu-Chun],
Cao, Y.T.[Yi-Ting],
Wu, J.H.[Jia-Hua],
RBGAN: Realistic-generation and balanced-utility GAN for face
de-identification,
IVC(141), 2024, pp. 104868.
Elsevier DOI
2402
Face de-identification, Privacy protection,
Data utility preservation, Disentangled representation, Symmetric consistency
BibRef
Wen, Y.Q.[Yun-Qian],
Liu, B.[Bo],
Cao, J.Y.[Jing-Yi],
Xie, R.[Rong],
Song, L.[Li],
Divide and Conquer: a Two-Step Method for High Quality Face
De-identification with Model Explainability,
ICCV23(5125-5134)
IEEE DOI
2401
BibRef
Cheng, K.H.M.[Kevin H. M.],
Yu, Z.T.[Zi-Tong],
Chen, H.Y.[Hao-Yu],
Zhao, G.Y.[Guo-Ying],
Benchmarking 3D Face De-Identification with Preserving Facial
Attributes,
ICIP22(656-660)
IEEE DOI
2211
Point cloud compression, Privacy, Solid modeling, Face recognition,
Biological system modeling, Benchmark testing, 3D face privacy,
3D facial attributes preservation
BibRef
Cao, J.Y.[Jing-Yi],
Liu, B.[Bo],
Wen, Y.Q.[Yun-Qian],
Xie, R.[Rong],
Song, L.[Li],
Personalized and Invertible Face De-identification by Disentangled
Identity Information Manipulation,
ICCV21(3314-3322)
IEEE DOI
2203
Privacy, Visualization, Image resolution, Surveillance, Passwords,
Image restoration, Faces, Faces,
BibRef
Bursic, S.[Sathya],
d'Amelio, A.[Alessandro],
Granato, M.[Marco],
Grossi, G.[Giuliano],
Lanzarotti, R.[Raffaella],
A Quantitative Evaluation Framework of Video De-Identification
Methods,
ICPR21(6089-6095)
IEEE DOI
2105
Measurement, Training, Deep learning, Privacy, Tools,
Pattern recognition, Open source software
BibRef
Wen, Y.,
Liu, B.,
Xie, R.,
Zhu, Y.,
Cao, J.,
Song, L.,
A Hybrid Model for Natural Face De-Identiation with Adjustable
Privacy,
VCIP20(269-272)
IEEE DOI
2102
Face recognition, Faces, Visualization, Privacy, Training, Usability,
Tools, privacy protection, multi-level features fusion, randomness
BibRef
Gafni, O.,
Wolf, L.,
Taigman, Y.,
Live Face De-Identification in Video,
ICCV19(9377-9386)
IEEE DOI
2004
feedforward neural nets, image representation, image sequences,
object detection, video signal processing, illumination,
Distortion
BibRef
Chatzikyriakidis, E.,
Papaioannidis, C.,
Pitas, I.,
Adversarial Face De-Identification,
ICIP19(684-688)
IEEE DOI
1910
Privacy Protection, Face De-identification, Adversarial Examples,
Deep Learning
BibRef
Yan, B.,
Pei, M.,
Nie, Z.,
Attributes Preserving Face De-Identification,
HBU19(1217-1221)
IEEE DOI
2004
age issues, emotion recognition, face recognition, gender issues,
ELEGANT model, k-Same algorithm,
BibRef
Brkic, K.,
Sikiric, I.,
Hrkac, T.,
Kalafatic, Z.,
I Know That Person:
Generative Full Body and Face De-identification of People in Images,
PRIV17(1319-1328)
IEEE DOI
1709
Biological system modeling, Clothing, Face, Face recognition,
Generators, Image segmentation
BibRef
Brkic, K.,
Sikiric, I.,
Hrkac, T.,
Kalafatic, Z.,
De-identifying people in videos using neural art,
IPTA16(1-6)
IEEE DOI
1703
Gaussian processes
BibRef
Alonso-Pérez, V.,
Enríqurez-Caldera, R.,
Ramírez-Cortes, J.M.,
Sucar, L.E.[L. Enrique],
A foveation technique applied to face de-identification,
ICPR16(4268-4273)
IEEE DOI
1705
Face, Face recognition, Image quality, Privacy, Radio frequency,
Spatial resolution, Video, surveillance
BibRef
Letournel, G.,
Bugeau, A.,
Ta, V.T.,
Domenger, J.P.,
Face de-identification with expressions preservation,
ICIP15(4366-4370)
IEEE DOI
1512
Adaptive Filtering; De-identification; Facial Expressions Recognition
BibRef
Mosaddegh, S.[Saleh],
Simon, L.[Loic],
Jurie, F.[Frédéric],
Photorealistic Face De-Identification by Aggregating Donors' Face
Components,
ACCV14(III: 159-174).
Springer DOI
1504
BibRef
Gross, R.[Ralph],
Sweeney, L.[Latanya],
de la Torre, F.[Fernando],
Baker, S.[Simon],
Semi-supervised learning of multi-factor models for face
de-identification,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Earlier:
Model-Based Face De-Identification,
PRIV06(161).
IEEE DOI
0609
BibRef
And: A1, A2, Only:
Towards Real-World Face De-Identification,
BTAS07(1-8).
IEEE DOI
0709
Obscure who it really is.
BibRef
Newton, E.M.[Elaine M.],
Sweeney, L.[Latanya],
Malin, B.[Bradley],
Preserving Privacy by De-identifying Facial Images,
CMU-CS-TRCMU-CS-03-119, March 2003.
HTML Version.
0306
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Liveness Detection, Spoofing, Presentation Attack, Faces, Other Biometrics .