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Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

1 February 2018

Papers citing "Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples"

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Title
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples Huangyi Ge Sze Yiu Chau Bruno Ribeiro Ninghui Li AAML 41 1 0 05 Dec 2018
Prototype-based Neural Network Layers: Incorporating Vector Quantization S. Saralajew Lars Holdijk Maike Rees T. Villmann MQ 61 15 0 04 Dec 2018
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 138 174 0 03 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 311 285 0 03 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 240 294 0 02 Dec 2018
Effects of Loss Functions And Target Representations on Adversarial Robustness Sean Saito S. Roy AAML 72 7 0 01 Dec 2018
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification Qi Lei Lingfei Wu Pin-Yu Chen A. Dimakis Inderjit S. Dhillon Michael Witbrock AAML 102 92 0 01 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding Bo Sun Nian-hsuan Tsai Fangchen Liu Ronald Yu Hao Su AAML 80 76 0 30 Nov 2018
Adversarial Examples as an Input-Fault Tolerance Problem A. Galloway A. Golubeva Graham W. Taylor SILM AAML 38 0 0 30 Nov 2018
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks Akhilan Boopathy Tsui-Wei Weng Pin-Yu Chen Sijia Liu Luca Daniel AAML 158 138 0 29 Nov 2018
Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting Artur Bekasov Iain Murray AAML BDL 63 14 0 29 Nov 2018
A randomized gradient-free attack on ReLU networks Francesco Croce Matthias Hein AAML 74 21 0 28 Nov 2018
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 102 190 0 27 Nov 2018
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies Bao Wang Binjie Yuan Zuoqiang Shi Stanley J. Osher AAML OOD 78 15 0 26 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 87 119 0 26 Nov 2018
Noisy Computations during Inference: Harmful or Helpful? Minghai Qin D. Vučinić AAML 31 5 0 26 Nov 2018
Attention, Please! Adversarial Defense via Activation Rectification and Preservation Shangxi Wu Jitao Sang Kaiyuan Xu Jiaming Zhang Jian Yu AAML 52 7 0 24 Nov 2018
Robustness via curvature regularization, and vice versa Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi J. Uesato P. Frossard AAML 105 319 0 23 Nov 2018
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses Jérôme Rony L. G. Hafemann Luiz Eduardo Soares de Oliveira Ismail Ben Ayed R. Sabourin Eric Granger AAML 78 299 0 23 Nov 2018
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 67 292 0 22 Nov 2018
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles Edward Grefenstette Robert Stanforth Brendan O'Donoghue J. Uesato G. Swirszcz Pushmeet Kohli AAML 80 18 0 22 Nov 2018
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces Ziv Katzir Yuval Elovici AAML 60 26 0 22 Nov 2018
Task-generalizable Adversarial Attack based on Perceptual Metric Muzammal Naseer Salman H. Khan Shafin Rahman Fatih Porikli AAML 73 40 0 22 Nov 2018
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples Utku Ozbulak W. D. Neve Arnout Van Messem AAML 39 7 0 21 Nov 2018
MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura T. Bremer GAN 53 2 0 20 Nov 2018
Intermediate Level Adversarial Attack for Enhanced Transferability Qian Huang Zeqi Gu Isay Katsman Horace He Pian Pawakapan Zhiqiu Lin Serge J. Belongie Ser-Nam Lim AAML SILM 54 4 0 20 Nov 2018
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples Hajime Ono Tsubasa Takahashi Kazuya Kakizaki AAML 49 4 0 20 Nov 2018
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures Hongyang R. Zhang Susu Xu Jiantao Jiao P. Xie Ruslan Salakhutdinov Eric Xing 71 23 0 19 Nov 2018
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding Yao Li Martin Renqiang Min Wenchao Yu Cho-Jui Hsieh T. C. Lee E. Kruus OT 60 7 0 19 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 124 420 0 19 Nov 2018
Generalizable Adversarial Training via Spectral Normalization Farzan Farnia Jesse M. Zhang David Tse OOD AAML 83 140 0 19 Nov 2018
A Spectral View of Adversarially Robust Features Shivam Garg Vatsal Sharan B. Zhang Gregory Valiant AAML 154 21 0 15 Nov 2018
Mathematical Analysis of Adversarial Attacks Zehao Dou Stanley J. Osher Bao Wang AAML 67 18 0 15 Nov 2018
Theoretical Analysis of Adversarial Learning: A Minimax Approach Zhuozhuo Tu Jingwei Zhang Dacheng Tao AAML 72 68 0 13 Nov 2018
New CleverHans Feature: Better Adversarial Robustness Evaluations with Attack Bundling Ian Goodfellow AAML 25 2 0 08 Nov 2018
A Geometric Perspective on the Transferability of Adversarial Directions Duncan C. McElfresh H. Bidkhori Dimitris Papailiopoulos AAML 50 17 0 08 Nov 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning K. Makarychev Pascal Dupré Yury Makarychev Giancarlo Pellegrino Dan Boneh AAML 104 64 0 08 Nov 2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks Yue Zhang Yizheng Chen Ahmed Abdou Mohsen Guizani AAML 43 23 0 06 Nov 2018
Blockchain and human episodic memory S. Cho Cody A Cushing Kunal Patel Alok Kothari Rongjian Lan Matthew Mattina Mouslim Cherkaoui Hakwan Lau 11 1 0 06 Nov 2018
SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters Hassan Ali Faiq Khalid Hammad Tariq Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Mohamed Bennai AAML 133 14 0 04 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 108 22 0 03 Nov 2018
Semidefinite relaxations for certifying robustness to adversarial examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 124 439 0 02 Nov 2018
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks Davide Maiorca Battista Biggio Giorgio Giacinto AAML 80 47 0 02 Nov 2018
Stronger Data Poisoning Attacks Break Data Sanitization Defenses Pang Wei Koh Jacob Steinhardt Percy Liang 110 244 0 02 Nov 2018
On the Geometry of Adversarial Examples Marc Khoury Dylan Hadfield-Menell AAML 81 79 0 01 Nov 2018
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models Sven Gowal Krishnamurthy Dvijotham Robert Stanforth Rudy Bunel Chongli Qin J. Uesato Relja Arandjelović Timothy A. Mann Pushmeet Kohli AAML 109 559 0 30 Oct 2018
Logit Pairing Methods Can Fool Gradient-Based Attacks Marius Mosbach Maksym Andriushchenko T. A. Trost Matthias Hein Dietrich Klakow AAML 68 83 0 29 Oct 2018
Rademacher Complexity for Adversarially Robust Generalization Dong Yin Kannan Ramchandran Peter L. Bartlett AAML 105 261 0 29 Oct 2018
Robust Adversarial Learning via Sparsifying Front Ends S. Gopalakrishnan Zhinus Marzi Metehan Cekic Upamanyu Madhow Ramtin Pedarsani AAML 58 3 0 24 Oct 2018
Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses Mohammad J. Hashemi Greg Cusack Eric Keller AAML SILM 51 8 0 23 Oct 2018