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Users like sharing personal photos with others through social media.
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G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller · 2007
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ImageNet: A Large-Scale Hierarchical Image Database
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De-anonymizing social networks
A. Narayanan and V. Shmatikov · 2009
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E. Zheleva and L. Getoor · 2009
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You are who you know: inferring user profiles in online social networks
A. Mislove, B. Viswanath, K. P. Gummadi, and P. Druschel · 2010
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Myths and fallacies of personally identifiable information
A. Narayanan and V. Shmatikov · 2010
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Static prediction games for adversarial learning problems
M. Brückner, C. Kanzow, and T. Scheffer · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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A survey of approaches and trends in person re-identification
A. Bedagkar-Gala and S. K. Shah · 2014
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Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus · 2014
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Explaining and harnessing adversarial examples
I. J. Goodfellow, J. Shlens, and C. Szegedy · 2015
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Learning with a strong adversary
R. Huang, B. Xu, D. Schuurmans, and C. Szepesvári · 2015
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Person recognition in personal photo collections
S. J. Oh, R. Benenson, M. Fritz, and B. Schiele · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
Deepfool: a simple and accurate method to fool deep neural networks
S.-M. Moosavi-Dezfooli, A. Fawzi, and P. Frossard · 2016
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Simple black-box adversarial perturbations for deep networks
N. Narodytska and S. P. Kasiviswanathan · 2016
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Faceless person recognition; privacy implications in social media
S. J. Oh, R. Benenson, M. Fritz, and B. Schiele · 2016
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Transferability in machine learning: from phenomena to black-box attacks using adversarial samples
N. Papernot, P. McDaniel, and I. Goodfellow · 2016
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Adversarial diversity and hard positive generation
A. Rozsa, E. M. Rudd, and T. E. Boult · 2016
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Beyond frontal faces: Improving person recognition using multiple cues
N. Zhang, M. Paluri, Y. Taigman, R. Fergus, and L. Bourdev · 2015
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Assessing threat of adversarial examples on deep neural networks
A. Graese, A. Rozsa, and T. E. Boult · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Adversarial examples in the physical world
A. Kurakin, I. Goodfellow, and S. Bengio · 2016
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A multi-level contextual model for person recognition in photo albums
H. Li, J. Brandt, Z. Lin, X. Shen, and G. Hua · 2016
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Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition
M. Sharif, S. Bhagavatula, L. Bauer, and M. K. Reiter · 2016
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Can we still avoid automatic face detection?
M. J. Wilber, V. Shmatikov, and S. Belongie · 2016
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Sequential person recognition in photo albums with a recurrent network
Y. Li, G. Lin, B. Zhuang, L. Liu, C. Shen, and A. van den Hengel · 2017
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Delving into transferable adversarial examples and black-box attacks
Y. Liu, X. Chen, C. Liu, and D. X. Song · 2017
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Learning deep features via congenerous cosine loss for person recognition
Y. Liu, H. Li, and X. Wang · 2017
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Universal adversarial perturbations
S.-M. Moosavi-Dezfooli, A. Fawzi, O. Fawzi, and P. Frossard · 2017
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Practical black-box attacks against deep learning systems using adversarial examples
N. Papernot, P. McDaniel, I. Goodfellow, S. Jha, Z. B. Celik, and A. Swami · 2017
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A domain based approach to social relation recognition
Q. Sun, M. Fritz, and B. Schiele · 2017
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