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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 4,016 papers shown

Title
Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems Kazuya Kakizaki Kosuke Yoshida AAML CVBM 79 19 0 09 May 2019
Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study Chihye Han Wonjun Yoon Gihyun Kwon S. Nam Dae-Shik Kim AAML 53 5 0 07 May 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 143 1,847 0 06 May 2019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples Vikash Sehwag A. Bhagoji Liwei Song Chawin Sitawarin Daniel Cullina M. Chiang Prateek Mittal OODD 79 26 0 05 May 2019
Transfer of Adversarial Robustness Between Perturbation Types Daniel Kang Yi Sun Tom B. Brown Dan Hendrycks Jacob Steinhardt AAML 73 49 0 03 May 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle Dinghuai Zhang Tianyuan Zhang Yiping Lu Zhanxing Zhu Bin Dong AAML 132 362 0 02 May 2019
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks Yandong Li Lijun Li Liqiang Wang Tong Zhang Boqing Gong AAML 101 245 0 01 May 2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic Algorithm Jinyin Chen Mengmeng Su Shijing Shen Hui Xiong Haibin Zheng AAML 124 68 0 01 May 2019
Dropping Pixels for Adversarial Robustness Hossein Hosseini Sreeram Kannan Radha Poovendran 54 16 0 01 May 2019
Test Selection for Deep Learning Systems Wei Ma Mike Papadakis Anestis Tsakmalis Maxime Cordy Yves Le Traon OOD 73 93 0 30 Apr 2019
Adversarial Training and Robustness for Multiple Perturbations Florian Tramèr Dan Boneh AAML SILM 122 380 0 30 Apr 2019
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 141 1,255 0 29 Apr 2019
Data Poisoning Attack against Knowledge Graph Embedding Hengtong Zhang T. Zheng Jing Gao Chenglin Miao Lu Su Yaliang Li K. Ren KELM 71 84 0 26 Apr 2019
Robustness Verification of Support Vector Machines Francesco Ranzato Marco Zanella AAML 84 18 0 26 Apr 2019
Physical Adversarial Textures that Fool Visual Object Tracking R. Wiyatno Anqi Xu AAML 95 74 0 24 Apr 2019
A Robust Approach for Securing Audio Classification Against Adversarial Attacks Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 74 71 0 24 Apr 2019
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys W. V. Ranst Toon Goedemé AAML 115 573 0 18 Apr 2019
Gotta Catch Ém All: Using Honeypots to Catch Adversarial Attacks on Neural Networks Shawn Shan Emily Wenger Bolun Wang Yangqiu Song Haitao Zheng Ben Y. Zhao 89 75 0 18 Apr 2019
ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks Guanxiong Liu Issa M. Khalil Abdallah Khreishah AAML 50 18 0 17 Apr 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers Ameya Joshi Amitangshu Mukherjee Soumik Sarkar Chinmay Hegde AAML 99 101 0 17 Apr 2019
Adversarial Defense Through Network Profiling Based Path Extraction Yuxian Qiu Jingwen Leng Cong Guo Quan Chen Chong Li Minyi Guo Yuhao Zhu AAML 69 51 0 17 Apr 2019
Reducing Adversarial Example Transferability Using Gradient Regularization George Adam P. Smirnov B. Haibe-Kains Anna Goldenberg AAML 81 4 0 16 Apr 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis Krishna Kanth Nakka Pascal Fua Mathieu Salzmann UQCV 87 178 0 16 Apr 2019
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction Alesia Chernikova Alina Oprea Cristina Nita-Rotaru Baekgyu Kim AAML 51 72 0 15 Apr 2019
Unrestricted Adversarial Examples via Semantic Manipulation Anand Bhattad Min Jin Chong Kaizhao Liang Yangqiu Song David A. Forsyth AAML 87 153 0 12 Apr 2019
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks David J. Miller Zhen Xiang G. Kesidis AAML 74 35 0 12 Apr 2019
Black-box Adversarial Attacks on Video Recognition Models Linxi Jiang Xingjun Ma Shaoxiang Chen James Bailey Yu-Gang Jiang AAML MLAU 86 150 0 10 Apr 2019
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition Yinpeng Dong Hang Su Baoyuan Wu Zhifeng Li Wen Liu Tong Zhang Jun Zhu CVBM AAML 83 409 0 09 Apr 2019
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning Shahbaz Rezaei Xin Liu SILM AAML 134 46 0 08 Apr 2019
Adversarial Audio: A New Information Hiding Method and Backdoor for DNN-based Speech Recognition Models Yehao Kong Jiliang Zhang 52 28 0 08 Apr 2019
Malware Evasion Attack and Defense Yonghong Huang Utkarsh Verma Celeste Fralick G. Infante-Lopez B. Kumar Carl Woodward AAML 65 16 0 07 Apr 2019
On Training Robust PDF Malware Classifiers Yizheng Chen Shiqi Wang Dongdong She Suman Jana AAML 99 69 0 06 Apr 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Yinpeng Dong Tianyu Pang Hang Su Jun Zhu SILM AAML 99 860 0 05 Apr 2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks Fatemeh Sheikholeslami Swayambhoo Jain G. Giannakis AAML 67 25 0 05 Apr 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack Jianbo Chen Michael I. Jordan Martin J. Wainwright AAML 123 672 0 03 Apr 2019
Interpreting Adversarial Examples by Activation Promotion and Suppression Kaidi Xu Sijia Liu Gaoyuan Zhang Mengshu Sun Pu Zhao Quanfu Fan Chuang Gan Xinyu Lin AAML FAtt 147 43 0 03 Apr 2019
Adversarial Attacks against Deep Saliency Models Zhaohui Che Ali Borji Guangtao Zhai Suiyi Ling G. Guo P. Le Callet AAML 49 4 0 02 Apr 2019
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning A. Salem Apratim Bhattacharyya Michael Backes Mario Fritz Yang Zhang FedML AAML MIACV 96 258 0 01 Apr 2019
Robustness of 3D Deep Learning in an Adversarial Setting Matthew Wicker Marta Kwiatkowska 3DPC 82 99 0 01 Apr 2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks Aamir Mustafa Salman Khan Munawar Hayat Roland Göcke Jianbing Shen Ling Shao AAML 64 152 0 01 Apr 2019
Defending against adversarial attacks by randomized diversification O. Taran Shideh Rezaeifar T. Holotyak Svyatoslav Voloshynovskiy AAML 82 39 0 01 Apr 2019
On the Vulnerability of CNN Classifiers in EEG-Based BCIs Xiao Zhang Dongrui Wu AAML 73 83 0 31 Mar 2019
BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks Huili Chen B. Rouhani F. Koushanfar 68 52 0 31 Mar 2019
Adversarial Robustness vs Model Compression, or Both? Shaokai Ye Kaidi Xu Sijia Liu Jan-Henrik Lambrechts Huan Zhang Aojun Zhou Kaisheng Ma Yanzhi Wang Xue Lin AAML 114 165 0 29 Mar 2019
Rallying Adversarial Techniques against Deep Learning for Network Security Joseph Clements Yuzhe Yang Ankur A Sharma Hongxin Hu Yingjie Lao AAML 80 52 0 27 Mar 2019
Bridging Adversarial Robustness and Gradient Interpretability Beomsu Kim Junghoon Seo Taegyun Jeon AAML 84 40 0 27 Mar 2019
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems Steffen Eger Gözde Gül Sahin Andreas Rucklé Ji-Ung Lee Claudia Schulz Mohsen Mesgar Krishnkant Swarnkar Edwin Simpson Iryna Gurevych AAML 122 163 0 27 Mar 2019
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks Francesco Croce Jonas Rauber Matthias Hein AAML 68 31 0 27 Mar 2019
On the Adversarial Robustness of Multivariate Robust Estimation Erhan Bayraktar Lifeng Lai 25 3 0 27 Mar 2019
A geometry-inspired decision-based attack Yujia Liu Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 77 54 0 26 Mar 2019