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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

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Title
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 357 3,197 0 01 Feb 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach Tsui-Wei Weng Huan Zhang Pin-Yu Chen Jinfeng Yi D. Su Yupeng Gao Cho-Jui Hsieh Luca Daniel AAML 85 469 0 31 Jan 2018
Certified Defenses against Adversarial Examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 130 969 0 29 Jan 2018
Deflecting Adversarial Attacks with Pixel Deflection Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer AAML 110 304 0 26 Jan 2018
Adversarial Texts with Gradient Methods Zhitao Gong Wenlu Wang Yangqiu Song Basel Alomair Wei-Shinn Ku AAML 106 77 0 22 Jan 2018
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers Ji Gao Jack Lanchantin M. Soffa Yanjun Qi AAML 178 728 0 13 Jan 2018
Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks Yongshuai Liu Jiyu Chen Hao Chen AAML 89 14 0 09 Jan 2018
Adversarial Spheres Justin Gilmer Luke Metz Fartash Faghri S. Schoenholz M. Raghu Martin Wattenberg Ian Goodfellow AAML 74 7 0 09 Jan 2018
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Xingjun Ma Yue Liu Yisen Wang S. Erfani S. Wijewickrema Grant Schoenebeck Basel Alomair Michael E. Houle James Bailey AAML 152 743 0 08 Jan 2018
Spatially Transformed Adversarial Examples Chaowei Xiao Jun-Yan Zhu Yue Liu Warren He M. Liu Basel Alomair AAML 139 524 0 08 Jan 2018
Generating Adversarial Examples with Adversarial Networks Chaowei Xiao Yue Liu Jun-Yan Zhu Warren He M. Liu Basel Alomair GAN AAML 133 906 0 08 Jan 2018
Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning Payap Sirinam Mohsen Imani Marc Juárez M. Wright 143 467 0 07 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 103 1,083 0 05 Jan 2018
Did you hear that? Adversarial Examples Against Automatic Speech Recognition M. Alzantot Bharathan Balaji Mani B. Srivastava AAML 80 252 0 02 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 148 1,878 0 02 Jan 2018
A General Framework for Adversarial Examples with Objectives Mahmood Sharif Sruti Bhagavatula Lujo Bauer Michael K. Reiter AAML GAN 84 196 0 31 Dec 2017
The Robust Manifold Defense: Adversarial Training using Generative Models A. Jalal Andrew Ilyas C. Daskalakis A. Dimakis AAML 122 174 0 26 Dec 2017
Query-limited Black-box Attacks to Classifiers Fnu Suya Yuan Tian David Evans Paolo Papotti AAML 59 24 0 23 Dec 2017
ReabsNet: Detecting and Revising Adversarial Examples Jiefeng Chen Zihang Meng Changtian Sun Weiliang Tang Yinglun Zhu AAML GAN 49 4 0 21 Dec 2017
Note on Attacking Object Detectors with Adversarial Stickers Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Basel Alomair Tadayoshi Kohno Amir Rahmati A. Prakash Florian Tramèr AAML 71 36 0 21 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 159 1,630 0 19 Dec 2017
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time David J. Miller Yujia Wang G. Kesidis AAML 55 44 0 18 Dec 2017
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu Basel Alomair AAML SILM 157 1,871 0 15 Dec 2017
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models Wieland Brendel Jonas Rauber Matthias Bethge AAML 103 1,352 0 12 Dec 2017
Training Ensembles to Detect Adversarial Examples Alexander Bagnall Razvan Bunescu Gordon Stewart AAML 57 39 0 11 Dec 2017
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 87 309 0 11 Dec 2017
NAG: Network for Adversary Generation Konda Reddy Mopuri Utkarsh Ojha Utsav Garg R. Venkatesh Babu AAML 88 146 0 09 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 181 1,412 0 08 Dec 2017
Exploring the Landscape of Spatial Robustness Logan Engstrom Brandon Tran Dimitris Tsipras Ludwig Schmidt Aleksander Madry AAML 165 363 0 07 Dec 2017
Generative Adversarial Perturbations Omid Poursaeed Isay Katsman Bicheng Gao Serge J. Belongie AAML GAN WIGM 88 356 0 06 Dec 2017
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning Hongge Chen Huan Zhang Pin-Yu Chen Jinfeng Yi Cho-Jui Hsieh GAN AAML 84 49 0 06 Dec 2017
Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems Kexin Pei Linjie Zhu Yinzhi Cao Junfeng Yang Carl Vondrick Suman Jana AAML 111 103 0 05 Dec 2017
Layer-wise Learning of Stochastic Neural Networks with Information Bottleneck Thanh T. Nguyen Jaesik Choi 83 13 0 04 Dec 2017
Improving Network Robustness against Adversarial Attacks with Compact Convolution Rajeev Ranjan S. Sankaranarayanan Carlos D. Castillo Rama Chellappa AAML 65 14 0 03 Dec 2017
Towards Robust Neural Networks via Random Self-ensemble Xuanqing Liu Minhao Cheng Huan Zhang Cho-Jui Hsieh FedML AAML 108 424 0 02 Dec 2017
Where Classification Fails, Interpretation Rises Chanh Nguyen Georgi Georgiev Yujie Ji Ting Wang AAML 25 0 0 02 Dec 2017
Adversary Detection in Neural Networks via Persistent Homology Thomas Gebhart Paul Schrater AAML 76 26 0 28 Nov 2017
On the Robustness of Semantic Segmentation Models to Adversarial Attacks Anurag Arnab O. Mikšík Philip Torr AAML 124 308 0 27 Nov 2017
Geometric robustness of deep networks: analysis and improvement Can Kanbak Seyed-Mohsen Moosavi-Dezfooli P. Frossard OOD AAML 129 131 0 24 Nov 2017
MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples Nicholas Carlini D. Wagner AAML 75 249 0 22 Nov 2017
Evaluating Robustness of Neural Networks with Mixed Integer Programming Vincent Tjeng Kai Y. Xiao Russ Tedrake AAML 114 117 0 20 Nov 2017
Model Extraction Warning in MLaaS Paradigm M. Kesarwani B. Mukhoty Vijay Arya S. Mehta MLAU 55 143 0 20 Nov 2017
Adversarial Attacks Beyond the Image Space Fangyin Wei Chenxi Liu Yu-Siang Wang Weichao Qiu Lingxi Xie Yu-Wing Tai Chi-Keung Tang Alan Yuille AAML 126 150 0 20 Nov 2017
Defense against Universal Adversarial Perturbations Naveed Akhtar Jian Liu Ajmal Mian AAML 105 208 0 16 Nov 2017
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis Rushil Anirudh Jayaraman J. Thiagarajan R. Sridhar T. Bremer FAtt AAML 72 12 0 15 Nov 2017
Machine vs Machine: Minimax-Optimal Defense Against Adversarial Examples Jihun Hamm Akshay Mehra AAML 74 7 0 12 Nov 2017
Mitigating Adversarial Effects Through Randomization Cihang Xie Jianyu Wang Zhishuai Zhang Zhou Ren Alan Yuille AAML 167 1,069 0 06 Nov 2017
Provable defenses against adversarial examples via the convex outer adversarial polytope Eric Wong J. Zico Kolter AAML 218 1,506 0 02 Nov 2017
Attacking Binarized Neural Networks A. Galloway Graham W. Taylor M. Moussa MQ AAML 93 106 0 01 Nov 2017
Countering Adversarial Images using Input Transformations Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten AAML 151 1,409 0 31 Oct 2017