Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective

28 March 2017

Seong Joon Oh

Mario Fritz

Bernt Schiele

CVBM

AAML

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Papers citing "Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective"

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Title
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Zhiming Luo Shaozi Li AAML 98 0 0 04 Jul 2024
A Domain Based Approach to Social Relation Recognition Qianru Sun Bernt Schiele Mario Fritz 45 102 0 21 Apr 2017
Learning Deep Features via Congenerous Cosine Loss for Person Recognition Yu Liu Hongyang Li Xiaogang Wang CVBM 35 50 0 22 Feb 2017
Simple Black-Box Adversarial Perturbations for Deep Networks Nina Narodytska S. Kasiviswanathan AAML 34 237 0 19 Dec 2016
Sequential Person Recognition in Photo Albums with a Recurrent Network Yao Li Guosheng Lin Bohan Zhuang Lingqiao Liu Chunhua Shen Anton Van Den Hengel 41 29 0 30 Nov 2016
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 91 1,726 0 08 Nov 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 92 2,518 0 26 Oct 2016
Assessing Threat of Adversarial Examples on Deep Neural Networks Abigail Graese Andras Rozsa Terrance E. Boult AAML 25 57 0 13 Oct 2016
Defeating Image Obfuscation with Deep Learning R. McPherson Reza Shokri Vitaly Shmatikov CVBM 36 168 0 01 Sep 2016
Faceless Person Recognition; Privacy Implications in Social Media Seong Joon Oh Rodrigo Benenson Mario Fritz Bernt Schiele CVBM 334 154 0 28 Jul 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 461 5,868 0 08 Jul 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 60 1,733 0 24 May 2016
Adversarial Diversity and Hard Positive Generation Andras Rozsa Ethan M. Rudd Terrance E. Boult 23 256 0 05 May 2016
Can we still avoid automatic face detection? Michael J. Wilber Vitaly Shmatikov Serge J. Belongie PICV CVBM 23 56 0 14 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 671 192,387 0 10 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 81 4,870 0 14 Nov 2015
Learning with a Strong Adversary Ruitong Huang Bing Xu Dale Schuurmans Csaba Szepesvári AAML 26 358 0 10 Nov 2015
Person Recognition in Personal Photo Collections Seong Joon Oh Rodrigo Benenson Mario Fritz Bernt Schiele CVBM 387 53 0 11 Sep 2015
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues Ning Zhang Manohar Paluri Yaniv Taigman Rob Fergus Lubomir D. Bourdev CVBM 29 153 0 23 Jan 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 93 18,883 0 20 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 144 43,481 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 365 99,915 0 04 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 43 14,831 1 21 Dec 2013