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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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Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong Zhijie Deng Tianyu Pang Hang Su Jun Zhu OOD 96 123 0 14 Feb 2020
CEB Improves Model Robustness Ian S. Fischer Alexander A. Alemi AAML 137 30 0 13 Feb 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 125 122 0 13 Feb 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models Lin Chen Yifei Min Mingrui Zhang Amin Karbasi OOD 88 64 0 11 Feb 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks Ginevra Carbone Matthew Wicker Luca Laurenti A. Patané Luca Bortolussi G. Sanguinetti AAML 104 79 0 11 Feb 2020
Improving the affordability of robustness training for DNNs Sidharth Gupta Parijat Dube Ashish Verma AAML 57 15 0 11 Feb 2020
Generalised Lipschitz Regularisation Equals Distributional Robustness Zac Cranko Zhan Shi Xinhua Zhang Richard Nock Simon Kornblith OOD 86 21 0 11 Feb 2020
Adversarial Attacks on Linear Contextual Bandits Evrard Garcelon Baptiste Roziere Laurent Meunier Jean Tarbouriech O. Teytaud A. Lazaric Matteo Pirotta AAML 84 51 0 10 Feb 2020
Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection Quanyu Liao Xin Wang Bin Kong Siwei Lyu Youbing Yin Qi Song Xi Wu AAML 94 8 0 10 Feb 2020
$Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images$ Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images Avrim Blum Travis Dick N. Manoj Hongyang R. Zhang AAML 81 79 0 10 Feb 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 184 84 0 09 Feb 2020
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples Shehzeen Samarah Hussain Paarth Neekhara Malhar Jere F. Koushanfar Julian McAuley AAML 100 154 0 09 Feb 2020
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness Aounon Kumar Alexander Levine Tom Goldstein Soheil Feizi 70 96 0 08 Feb 2020
Analysis of Random Perturbations for Robust Convolutional Neural Networks Adam Dziedzic S. Krishnan OOD AAML 70 1 0 08 Feb 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 109 98 0 07 Feb 2020
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing Elan Rosenfeld Ezra Winston Pradeep Ravikumar J. Zico Kolter OOD AAML 94 159 0 07 Feb 2020
On the Robustness of Face Recognition Algorithms Against Attacks and Bias Richa Singh Akshay Agarwal Maneet Singh Shruti Nagpal Mayank Vatsa CVBM AAML 134 66 0 07 Feb 2020
RAID: Randomized Adversarial-Input Detection for Neural Networks Hasan Ferit Eniser M. Christakis Valentin Wüstholz AAML 69 15 0 07 Feb 2020
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study David Mickisch F. Assion Florens Greßner W. Günther M. Motta AAML 69 34 0 05 Feb 2020
Minimax Defense against Gradient-based Adversarial Attacks Blerta Lindqvist R. Izmailov AAML 27 0 0 04 Feb 2020
Regularizers for Single-step Adversarial Training S. VivekB. R. Venkatesh Babu AAML 56 7 0 03 Feb 2020
Towards Sharper First-Order Adversary with Quantized Gradients Zhuanghua Liu Ivor W. Tsang AAML 42 0 0 01 Feb 2020
Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers Xiao Zhang Dongrui Wu L. Ding Hanbin Luo Chin-Teng Lin T. Jung Ricardo Chavarriaga AAML 91 60 0 30 Jan 2020
Evaluating Robustness to Context-Sensitive Feature Perturbations of Different Granularities Isaac Dunn Laura Hanu Hadrien Pouget Daniel Kroening T. Melham AAML 79 2 0 29 Jan 2020
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks Oliver Willers Sebastian Sudholt Shervin Raafatnia Stephanie Abrecht 111 80 0 22 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 109 846 0 20 Jan 2020
Distortion Agnostic Deep Watermarking Xiyang Luo Ruohan Zhan Huiwen Chang Feng Yang P. Milanfar WIGM 76 165 0 14 Jan 2020
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 165 1,182 0 12 Jan 2020
Guess First to Enable Better Compression and Adversarial Robustness Sicheng Zhu Bang An Shiyu Niu AAML 42 0 0 10 Jan 2020
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach Serena Booth Ankit J. Shah Yilun Zhou J. Shah BDL 35 1 0 09 Jan 2020
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius Runtian Zhai Chen Dan Di He Huan Zhang Boqing Gong Pradeep Ravikumar Cho-Jui Hsieh Liwei Wang OOD AAML 111 178 0 08 Jan 2020
The Human Visual System and Adversarial AI Yaoshiang Ho S. Wookey 28 2 0 05 Jan 2020
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks Xiao Zhang Dongrui Wu 58 38 0 04 Jan 2020
Exploiting the Sensitivity of $L_2$ Adversarial Examples to Erase-and-Restore F. Zuo Qiang Zeng AAML 20 1 0 01 Jan 2020
Quantum Adversarial Machine Learning Sirui Lu L. Duan D. Deng AAML 115 102 0 31 Dec 2019
Adversarial Example Generation using Evolutionary Multi-objective Optimization Takahiro Suzuki Shingo Takeshita S. Ono AAML 66 22 0 30 Dec 2019
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 108 36 0 26 Dec 2019
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing Jinyuan Jia Xiaoyu Cao Binghui Wang Neil Zhenqiang Gong AAML 60 96 0 20 Dec 2019
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes Keane Lucas Mahmood Sharif Lujo Bauer Michael K. Reiter S. Shintre AAML 94 68 0 19 Dec 2019
$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 46 6 0 19 Dec 2019
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura T. Bremer AAML 69 44 0 16 Dec 2019
Constructing a provably adversarially-robust classifier from a high accuracy one Grzegorz Gluch R. Urbanke AAML 47 2 0 16 Dec 2019
Detecting and Correcting Adversarial Images Using Image Processing Operations H. Nguyen Minoru Kuribayashi Junichi Yamagishi Isao Echizen AAML 55 1 0 11 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 298 6,343 0 10 Dec 2019
Training Provably Robust Models by Polyhedral Envelope Regularization Chen Liu Mathieu Salzmann Sabine Süsstrunk AAML 78 8 0 10 Dec 2019
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 110 548 0 06 Dec 2019
Adversarial Risk via Optimal Transport and Optimal Couplings Muni Sreenivas Pydi Varun Jog 85 60 0 05 Dec 2019
Perfectly Parallel Fairness Certification of Neural Networks Caterina Urban M. Christakis Valentin Wüstholz Fuyuan Zhang 105 72 0 05 Dec 2019
Towards Robust Image Classification Using Sequential Attention Models Daniel Zoran Mike Chrzanowski Po-Sen Huang Sven Gowal Alex Mott Pushmeet Kohli AAML 66 61 0 04 Dec 2019
A Method for Computing Class-wise Universal Adversarial Perturbations Tejus Gupta Abhishek Sinha Nupur Kumari M. Singh Balaji Krishnamurthy AAML 38 10 0 01 Dec 2019