21.5.1.4 Face De-Identification, Privacy

Chapter Contents (Back)
Privacy. De-Identification. Application, Biometrics.
See also Biometrics, Privacy Issues, Security Issues.
See also Surveillance Systems, Privacy Protection, Issues, Techniques, Face Obscuration.

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


Shvai, N.[Nadiya], Carmona, A.L.[Arcadi Llanza], Nakib, A.[Amir],
Adaptive Image Anonymization in the Context of Image Classification with Neural Networks,
ICCV23(5051-5060)
IEEE DOI 2401
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 .


Last update:Jan 30, 2024 at 20:33:16