Fawkes: Protecting Privacy against Unauthorized Deep Learning Models

19 February 2020

Papers citing "Fawkes: Protecting Privacy against Unauthorized Deep Learning Models"

35 / 35 papers shown

Title
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Zuxuan Wu Ser-Nam Lim L. Davis Tom Goldstein AAML 117 265 0 31 Oct 2019
Deep k-NN Defense against Clean-label Data Poisoning Attacks Neehar Peri Neal Gupta Wenjie Huang Liam H. Fowl Chen Zhu Soheil Feizi Tom Goldstein John P. Dickerson AAML 44 6 0 29 Sep 2019
AdvHat: Real-world adversarial attack on ArcFace Face ID system Stepan Alekseevich Komkov Aleksandr Petiushko AAML CVBM 54 285 0 23 Aug 2019
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations Yuezun Li Xin Yang Baoyuan Wu Siwei Lyu AAML PICV CVBM 74 38 0 21 Jun 2019
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets Chen Zhu Wenjie Huang Ali Shafahi Hengduo Li Gavin Taylor Christoph Studer Tom Goldstein 83 285 0 15 May 2019
AnonymousNet: Natural Face De-Identification with Measurable Privacy Tao Li Lei Lin PICV 64 147 0 19 Apr 2019
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys W. V. Ranst Toon Goedemé AAML 107 569 0 18 Apr 2019
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering Bryant Chen Wilka Carvalho Wenjie Li Heiko Ludwig Benjamin Edwards Chengyao Chen Ziqiang Cao Biplav Srivastava AAML 89 796 0 09 Nov 2018
Privacy-Protective-GAN for Face De-identification Yifan Wu Fan Yang Haibin Ling CVBM PICV 42 60 0 23 Jun 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 102 1,781 0 30 May 2018
A Hybrid Model for Identity Obfuscation by Face Replacement Qianru Sun A. Tewari Weipeng Xu Mario Fritz Christian Theobalt Bernt Schiele CVBM PICV 61 127 0 13 Apr 2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks Ali Shafahi Wenjie Huang Mahyar Najibi Octavian Suciu Christoph Studer Tudor Dumitras Tom Goldstein AAML 86 1,090 0 03 Apr 2018
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks Octavian Suciu R. Marginean Yigitcan Kaya Hal Daumé Tudor Dumitras AAML 81 286 0 19 Mar 2018
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection Andrea Paudice Luis Muñoz-González András Gyorgy Emil C. Lupu AAML 58 146 0 08 Feb 2018
Natural and Effective Obfuscation by Head Inpainting Qianru Sun Liqian Ma Seong Joon Oh Luc Van Gool Bernt Schiele Mario Fritz PICV 352 204 0 24 Nov 2017
Countering Adversarial Images using Input Transformations Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten AAML 114 1,405 0 31 Oct 2017
VGGFace2: A dataset for recognising faces across pose and age Qiong Cao Li Shen Weidi Xie Omkar M. Parkhi Andrew Zisserman CVBM 95 2,630 0 23 Oct 2017
Machine Learning Models that Remember Too Much Congzheng Song Thomas Ristenpart Vitaly Shmatikov VLM 70 516 0 22 Sep 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 307 12,069 0 19 Jun 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 92 755 0 09 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 123 1,857 0 20 May 2017
Level Playing Field for Million Scale Face Recognition A. Nech Ira Kemelmacher-Shlizerman CVBM 72 191 0 01 May 2017
Generative Poisoning Attack Method Against Neural Networks Chaofei Yang Qing Wu Hai Helen Li Yiran Chen AAML 59 218 0 03 Mar 2017
Detecting Adversarial Samples from Artifacts Reuben Feinman Ryan R. Curtin S. Shintre Andrew B. Gardner AAML 93 893 0 01 Mar 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 140 1,737 0 08 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 772 36,813 0 25 Aug 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 266 8,555 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 540 5,897 0 08 Jul 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 207 6,130 0 01 Jul 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 114 1,739 0 24 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,253 0 23 Feb 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014
Learning Face Representation from Scratch Dong Yi Zhen Lei Tianran Ouyang Stan Z. Li CVBM 89 2,011 0 28 Nov 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 231 8,336 0 06 Nov 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 270 14,927 1 21 Dec 2013