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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,334 papers shown

Title
Safer Classification by Synthesis William Wang Angelina Wang Aviv Tamar Xi Chen Pieter Abbeel 74 41 0 22 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 111 117 0 20 Nov 2017
Virtual Adversarial Ladder Networks For Semi-supervised Learning Saki Shinoda Daniel E. Worrall Gabriel J. Brostow 34 4 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
"I know it when I see it". Visualization and Intuitive Interpretability Fabian Offert HAI 77 10 0 20 Nov 2017
Towards better understanding of gradient-based attribution methods for Deep Neural Networks Marco Ancona Enea Ceolini Cengiz Öztireli Markus Gross FAtt 98 147 0 16 Nov 2017
Efficient Diverse Ensemble for Discriminative Co-Tracking Kourosh Meshgi Shigeyuki Oba S. Ishii 50 23 0 16 Nov 2017
Defense against Universal Adversarial Perturbations Naveed Akhtar Jian Liu Ajmal Mian AAML 103 208 0 16 Nov 2017
AOGNets: Compositional Grammatical Architectures for Deep Learning Xilai Li Xi Song Tianfu Wu 72 26 0 15 Nov 2017
Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results G. Lafay Emmanouil Benetos Mathieu Lagrange 51 22 0 15 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
Adversarial Information Factorization Antonia Creswell Yumnah Mohamied B. Sengupta Anil A Bharath CVBM GAN 75 23 0 14 Nov 2017
Robust Multilingual Part-of-Speech Tagging via Adversarial Training Michihiro Yasunaga Jungo Kasai Dragomir R. Radev 78 104 0 14 Nov 2017
Visual Concepts and Compositional Voting Jianyu Wang Zhishuai Zhang Cihang Xie Yuyin Zhou Vittal Premachandran Jun Zhu Lingxi Xie Alan Yuille 94 34 0 13 Nov 2017
Machine vs Machine: Minimax-Optimal Defense Against Adversarial Examples Jihun Hamm Akshay Mehra AAML 74 7 0 12 Nov 2017
Crafting Adversarial Examples For Speech Paralinguistics Applications Yuan Gong C. Poellabauer AAML 96 122 0 09 Nov 2017
LatentPoison - Adversarial Attacks On The Latent Space Antonia Creswell Anil A. Bharath B. Sengupta AAML OOD 58 20 0 08 Nov 2017
Intriguing Properties of Adversarial Examples E. D. Cubuk Barret Zoph S. Schoenholz Quoc V. Le AAML 86 85 0 08 Nov 2017
Synthetic and Natural Noise Both Break Neural Machine Translation Yonatan Belinkov Yonatan Bisk 172 744 0 06 Nov 2017
Mitigating Adversarial Effects Through Randomization Cihang Xie Jianyu Wang Zhishuai Zhang Zhou Ren Alan Yuille AAML 164 1,068 0 06 Nov 2017
Adversarial Frontier Stitching for Remote Neural Network Watermarking Erwan Le Merrer P. Pérez Gilles Trédan MLAU AAML 88 343 0 06 Nov 2017
HyperNetworks with statistical filtering for defending adversarial examples Zhun Sun Mete Ozay Takayuki Okatani AAML 54 16 0 06 Nov 2017
Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh Maximilian Augustin Bernt Schiele Mario Fritz AAML 363 3 0 06 Nov 2017
Adversarial Dropout Regularization Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada Kate Saenko GAN 94 286 0 05 Nov 2017
Provable defenses against adversarial examples via the convex outer adversarial polytope Eric Wong J. Zico Kolter AAML 204 1,506 0 02 Nov 2017
A Unified View of Piecewise Linear Neural Network Verification Rudy Bunel Ilker Turkaslan Philip Torr Pushmeet Kohli M. P. Kumar AAML 123 73 0 01 Nov 2017
Attacking Binarized Neural Networks A. Galloway Graham W. Taylor M. Moussa MQ AAML 81 106 0 01 Nov 2017
Countering Adversarial Images using Input Transformations Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten AAML 149 1,409 0 31 Oct 2017
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 203 601 0 31 Oct 2017
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples Yang Song Taesup Kim Sebastian Nowozin Stefano Ermon Nate Kushman AAML 143 791 0 30 Oct 2017
Attacking the Madry Defense Model with $L_1$ -based Adversarial Examples Yash Sharma Pin-Yu Chen 126 118 0 30 Oct 2017
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 145 866 0 29 Oct 2017
Interpretation of Neural Networks is Fragile Amirata Ghorbani Abubakar Abid James Zou FAtt AAML 153 874 0 29 Oct 2017
Adversarial Detection of Flash Malware: Limitations and Open Issues Davide Maiorca Ambra Demontis Battista Biggio Maria Elena Chiappe Giorgio Giacinto AAML 51 24 0 27 Oct 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 323 9,831 0 25 Oct 2017
One pixel attack for fooling deep neural networks Jiawei Su Danilo Vasconcellos Vargas Kouichi Sakurai AAML 220 2,331 0 24 Oct 2017
Adversarial Deep Structured Nets for Mass Segmentation from Mammograms Wentao Zhu Xiang Xiang T. Tran Gregory Hager Xiaohui Xie MedIm 61 113 0 24 Oct 2017
Feature-Guided Black-Box Safety Testing of Deep Neural Networks Matthew Wicker Xiaowei Huang Marta Kwiatkowska AAML 80 235 0 21 Oct 2017
Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks Matthew Ragoza Lillian Turner D. Koes 44 16 0 20 Oct 2017
Boosting Adversarial Attacks with Momentum Yinpeng Dong Fangzhou Liao Tianyu Pang Hang Su Jun Zhu Xiaolin Hu Jianguo Li AAML 112 85 0 17 Oct 2017
Bayesian Hypernetworks David M. Krueger Chin-Wei Huang Riashat Islam Ryan Turner Alexandre Lacoste Aaron Courville UQCV BDL 82 139 0 13 Oct 2017
Neural Trojans Yuntao Liu Yang Xie Ankur Srivastava AAML 86 359 0 03 Oct 2017
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight Yen-Chen Lin Ming-Yuan Liu Min Sun Jia-Bin Huang AAML 96 48 0 02 Oct 2017
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks D. Gopinath Guy Katz C. Păsăreanu Clark W. Barrett AAML 141 87 0 02 Oct 2017
Provably Minimally-Distorted Adversarial Examples Nicholas Carlini Guy Katz Clark W. Barrett D. Dill AAML 105 89 0 29 Sep 2017
Distance-based Confidence Score for Neural Network Classifiers Amit Mandelbaum D. Weinshall UQCV 81 112 0 28 Sep 2017
Fooling Vision and Language Models Despite Localization and Attention Mechanism Xiaojun Xu Xinyun Chen Chang-rui Liu Anna Rohrbach Trevor Darrell Basel Alomair AAML 99 41 0 25 Sep 2017
Verifying Properties of Binarized Deep Neural Networks Nina Narodytska S. Kasiviswanathan L. Ryzhyk Shmuel Sagiv T. Walsh AAML 117 217 0 19 Sep 2017