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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
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
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network Q. Song Yingqi Wu Lu Yang AAML CVBM GAN 125 98 0 29 Nov 2018
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers Nathan Inkawhich Matthew J. Inkawhich Yiran Chen H. Li AAML 50 38 0 28 Nov 2018
An Adversarial Approach for Explainable AI in Intrusion Detection Systems Daniel L. Marino Chathurika S. Wickramasinghe Milos Manic AAML 53 110 0 28 Nov 2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 115 299 0 28 Nov 2018
A randomized gradient-free attack on ReLU networks Francesco Croce Matthias Hein AAML 74 21 0 28 Nov 2018
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness S. Latif R. Rana Junaid Qadir GAN AAML 87 43 0 28 Nov 2018
Formal Verification of CNN-based Perception Systems Panagiotis Kouvaros A. Lomuscio 76 38 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
Undermining User Privacy on Mobile Devices Using AI Berk Gülmezoglu A. Zankl M. Caner Tol Saad Islam T. Eisenbarth B. Sunar 38 26 0 27 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 91 229 0 27 Nov 2018
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks Jinghui Chen Dongruo Zhou Jinfeng Yi Quanquan Gu AAML 93 68 0 27 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
Interpretable Convolutional Filters with SincNet Mirco Ravanelli Yoshua Bengio 93 107 0 23 Nov 2018
Robustness via curvature regularization, and vice versa Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi J. Uesato P. Frossard AAML 108 319 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
Data Augmentation using Random Image Cropping and Patching for Deep CNNs Ryo Takahashi Takashi Matsubara K. Uehara 102 331 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
Recent Advances in Open Set Recognition: A Survey Chuanxing Geng Sheng-Jun Huang Songcan Chen BDL ObjD 184 776 0 21 Nov 2018
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition Jenn-Bing Ong W. Ng C.-C. Jay Kuo AAML 55 0 0 20 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 124 421 0 19 Nov 2018
Generalizable Adversarial Training via Spectral Normalization Farzan Farnia Jesse M. Zhang David Tse OOD AAML 90 140 0 19 Nov 2018
Distribution Discrepancy Maximization for Image Privacy Preserving Sen Liu Jianxin Lin Zhibo Chen 29 1 0 18 Nov 2018
A Variational Dirichlet Framework for Out-of-Distribution Detection Wenhu Chen Yilin Shen Xin Eric Wang Wenjie Wang UQCV 67 9 0 18 Nov 2018
A Statistical Approach to Assessing Neural Network Robustness Stefan Webb Tom Rainforth Yee Whye Teh M. P. Kumar AAML 91 83 0 17 Nov 2018
Boosting the Robustness Verification of DNN by Identifying the Achilles's Heel Chang-Xue Feng Zhenbang Chen W.-Y. Hong Hengbiao Yu Wei Dong Ji Wang AAML 67 1 0 17 Nov 2018
DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules Nicholas Frosst S. Sabour Geoffrey E. Hinton GAN 62 47 0 16 Nov 2018
A Spectral View of Adversarially Robust Features Shivam Garg Vatsal Sharan B. Zhang Gregory Valiant AAML 154 21 0 15 Nov 2018
Reward learning from human preferences and demonstrations in Atari Borja Ibarz Jan Leike Tobias Pohlen G. Irving Shane Legg Dario Amodei 126 398 0 15 Nov 2018
Mathematical Analysis of Adversarial Attacks Zehao Dou Stanley J. Osher Bao Wang AAML 67 18 0 15 Nov 2018
Adversarial Resilience Learning - Towards Systemic Vulnerability Analysis for Large and Complex Systems Lars Fischer Jan-Menno Memmen Eric M. S. P. Veith Martin Tröschel AAML 43 20 0 15 Nov 2018
Deep Neural Networks based Modrec: Some Results with Inter-Symbol Interference and Adversarial Examples S. A. Ahmed Subhashish Chakravarty Michael Newhouse AAML 13 0 0 14 Nov 2018
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 98 325 0 13 Nov 2018
Theoretical Analysis of Adversarial Learning: A Minimax Approach Zhuozhuo Tu Jingwei Zhang Dacheng Tao AAML 72 68 0 13 Nov 2018
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training Yao Wan Wenqiang Yan Jianwei Gao Zhou Zhao Jian Wu Philip S. Yu 78 10 0 12 Nov 2018
Adversarial Sampling and Training for Semi-Supervised Information Retrieval Dae Hoon Park Yi-Ju Chang FedML 69 103 0 09 Nov 2018
Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses T. A. Hogan B. Kailkhura AAML 64 10 0 09 Nov 2018
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective Yuji Roh A. Mishra Steven Euijong Whang 84 685 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
Emerging Applications of Reversible Data Hiding Dongdong Hou Weiming Zhang Jiayang Liu Siyan Zhou Dongdong Chen Nenghai Yu 41 13 0 07 Nov 2018
YASENN: Explaining Neural Networks via Partitioning Activation Sequences Yaroslav Zharov Denis Korzhenkov J. Lyu Alexander Tuzhilin FAtt AAML 41 6 0 07 Nov 2018
Deep Weighted Averaging Classifiers Dallas Card Michael J.Q. Zhang Hao Tang 96 41 0 06 Nov 2018
SparseFool: a few pixels make a big difference Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 72 200 0 06 Nov 2018
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls Guofu Li Y. Sagduyu Kemal Davaslioglu Jason H. Li AAML 66 31 0 05 Nov 2018
On the Transferability of Adversarial Examples Against CNN-Based Image Forensics Mauro Barni Kassem Kallas Ehsan Nowroozi B. Tondi AAML 68 34 0 05 Nov 2018