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Recent research has proposed the use of Semi Adversarial Networks (SAN) for imparting privacy to face images.
Neural network ensembles
L. K. Hansen and P. Salamon · 1990
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Ensemble methods in machine learning
T. G. Dietterich · 2000
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Combining pattern classifiers: methods and algorithms
L. I. Kuncheva · 2004
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Labeled faces in the wild: A database for studying face recognition in unconstrained environments
G. Huang, M. Ramesh, T. Berg, and E. Learned-Miller · 2007
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Predicting social security numbers from public data
A. Acquisti and R. Gross · 2009
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Presentation and validation of the Radboud faces database
O. Langner, R. Dotsch, G. Bijlstra, D. H. Wigboldus, S. T. Hawk, and A. Van Knippenberg · 2010
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The MUCT landmarked face database
S. Milborrow, J. Morkel, and F. Nicolls · 2010
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Introduction to biometrics
A. Jain, A. Ross, and K. Nandakumar · 2011
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What is privacy worth?
A. Acquisti, L. K. John, and G. Loewenstein · 2013
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Privacy and data protection issues of biometric applications
E. J. Kindt · 2013
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Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus · 2013
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Privacy of facial soft biometrics: Suppressing gender but retaining identity
A. Othman and A. Ross · 2014
Earlier work this paper cites.
Privacy and human behavior in the age of information
A. Acquisti, L. Brandimarte, and G. Loewenstein · 2015
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Intraface
F. De la Torre, W.-S. Chu, X. Xiong, F. Vicente, X. Ding, and J. Cohn · 2015
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Attribute preserved face de-identification
A. Jourabloo, X. Yin, and X. Liu · 2015
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Age and gender classification using convolutional neural networks
G. Levi and T. Hassner · 2015
Cited alongside, same era.
Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
Cited alongside, same era.
Deep face recognition
O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2015
Cited alongside, same era.
FaceNet: a unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
Cited alongside, same era.
Controllable face privacy
T. Sim and L. Zhang · 2015
Cited alongside, same era.
Official Journal of the European Union
Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 · 2016
Cited alongside, same era.
The economics of privacy
Real-time convolutional neural networks for emotion and gender classification
O. Arriaga, M. Valdenegro-Toro, and P. Plöger · 2017
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Age and gender classification using local appearance descriptors from facial components
F. Becerra-Riera, H. Méndez-Vázquez, A. Morales-Gonzalez, and M. Tistarelli · 2017
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Partial transfer learning with selective adversarial networks
Z. Cao, M. Long, J. Wang, and M. I. Jordan · 2017
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Descriptors and regions of interest fusion for in-and cross-database gender classification in the wild
M. Castrillón-Santana, J. Lorenzo-Navarro, and E. Ramón-Balmaseda · 2017
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Self-normalizing neural networks
G. Klambauer, T. Unterthiner, A. Mayr, and S. Hochreiter · 2017
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A. Acquisti, C. Taylor, and L. Wagman · 2016
Cited alongside, same era.
OpenFace: a general-purpose face recognition library with mobile applications
B. Amos, B. Ludwiczuk, and M. Satyanarayanan · 2016
Cited alongside, same era.
Automatic age and gender classification using supervised appearance model
A. M. Bukar, H. Ugail, and D. Connah · 2016
Cited alongside, same era.
What else does your biometric data reveal? A survey on soft biometrics
A. Dantcheva, P. Elia, and A. Ross · 2016
Cited alongside, same era.
AFFACT: Alignment free facial attribute classification technique
M. Günther, A. Rozsa, and T. E. Boult · 2016
Cited alongside, same era.
Gender classification by deep learning on millions of weakly labelled images
S. Jia, T. Lansdall-Welfare, and N. Cristianini · 2016
Cited alongside, same era.
Soft biometric privacy: Retaining biometric utility of face images while perturbing gender
V. Mirjalili and A. Ross · 2017
Later among the works it cites.
Automatic differentiation in pytorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
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HyperFace: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition
R. Ranjan, V. M. Patel, and R. Chellappa · 2017
Later among the works it cites.
Python machine learning, 2nd Ed
S. Raschka and V. Mirjalili · 2017
Later among the works it cites.
Ensemble methods as a defense to adversarial perturbations against deep neural networks
T. Strauss, M. Hanselmann, A. Junginger, and H. Ulmer · 2017
Later among the works it cites.
Disentangled representation learning GAN for pose-invariant face recognition
L. Tran, X. Yin, and X. Liu · 2017
Later among the works it cites.
Threat of adversarial attacks on deep learning in computer vision: A survey
N. Akhtar and A. Mian · 2018
Closest in time.
Facebook employs psychologist whose firm sold data to Cambridge Analytica
P. Lewis and J. Carrie Wong · 2018
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Semi-Adversarial Networks: Convolutional autoencoders for imparting privacy to face images
V. Mirjalili, S. Raschka, A. Namboodiri, and A. Ross · 2018
Closest in time.