Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

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Title
A scalable saliency-based Feature selection method with instance level information Brais Cancela V. Bolón-Canedo Amparo Alonso-Betanzos João Gama FAtt 14 13 0 30 Apr 2019
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction Francesco Crecchi D. Bacciu Battista Biggio AAML 14 10 0 30 Apr 2019
Adversarial Training and Robustness for Multiple Perturbations Florian Tramèr Dan Boneh AAML SILM 30 375 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 77 1,231 0 29 Apr 2019
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks Koby Bibas Yaniv Fogel M. Feder BDL 19 19 0 28 Apr 2019
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications Chenglong Wang Rudy Bunel Krishnamurthy Dvijotham Po-Sen Huang Edward Grefenstette Pushmeet Kohli 30 5 0 26 Apr 2019
Local Relation Networks for Image Recognition Han Hu Zheng-Wei Zhang Zhenda Xie Stephen Lin FAtt 32 498 0 25 Apr 2019
Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness Greg Anderson Shankara Pailoor Işıl Dillig Swarat Chaudhuri AAML 21 100 0 22 Apr 2019
Distributed generation of privacy preserving data with user customization Xiao Chen Thomas Navidi Stefano Ermon Ram Rajagopal 19 11 0 20 Apr 2019
Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA Cory Cornelius Shang-Tse Chen Jason Martin Duen Horng Chau 22 7 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 28 71 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 22 18 0 17 Apr 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers Ameya Joshi Amitangshu Mukherjee Soumik Sarkar Chinmay Hegde AAML 8 99 0 17 Apr 2019
Defensive Quantization: When Efficiency Meets Robustness Ji Lin Chuang Gan Song Han MQ 42 202 0 17 Apr 2019
Interpreting Adversarial Examples with Attributes Sadaf Gulshad J. H. Metzen A. Smeulders Zeynep Akata FAtt AAML 33 6 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 24 51 0 17 Apr 2019
AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples Xiaosen Wang Kun He Chuanbiao Song Liwei Wang J. Hopcroft GAN 18 32 0 16 Apr 2019
Influence of Control Parameters and the Size of Biomedical Image Datasets on the Success of Adversarial Attacks V. Kovalev D. Voynov AAML MedIm 17 6 0 15 Apr 2019
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks David J. Miller Zhen Xiang G. Kesidis AAML 19 35 0 12 Apr 2019
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense Lingyun Jiang Kai Qiao Ruoxi Qin Linyuan Wang Jian Chen Haibing Bu Bin Yan AAML 20 8 0 12 Apr 2019
Black-Box Decision based Adversarial Attack with Symmetric $α$ -stable Distribution Vignesh Srinivasan E. Kuruoglu K. Müller Wojciech Samek Shinichi Nakajima AAML 17 7 0 11 Apr 2019
Black-box Adversarial Attacks on Video Recognition Models Linxi Jiang Xingjun Ma Shaoxiang Chen James Bailey Yu-Gang Jiang AAML MLAU 14 143 0 10 Apr 2019
Universal Lipschitz Approximation in Bounded Depth Neural Networks Jérémy E. Cohen Todd P. Huster Ravid Cohen AAML 18 23 0 09 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 28 405 0 09 Apr 2019
Malware Evasion Attack and Defense Yonghong Huang Utkarsh Verma Celeste Fralick G. Infante-Lopez B. Kumar Carl Woodward AAML 20 16 0 07 Apr 2019
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks N. Benjamin Erichson Z. Yao Michael W. Mahoney AAML 27 21 0 07 Apr 2019
On Training Robust PDF Malware Classifiers Yizheng Chen Shiqi Wang Dongdong She Suman Jana AAML 50 68 0 06 Apr 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Yinpeng Dong Tianyu Pang Hang Su Jun Zhu SILM AAML 49 830 0 05 Apr 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack Jianbo Chen Michael I. Jordan Martin J. Wainwright AAML 33 654 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 32 43 0 03 Apr 2019
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses Yingwei Li S. Bai Cihang Xie Zhenyu A. Liao Xiaohui Shen Alan Yuille AAML 47 50 0 01 Apr 2019
Robustness of 3D Deep Learning in an Adversarial Setting Matthew Wicker Marta Kwiatkowska 3DPC 22 96 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 17 151 0 01 Apr 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 39 571 0 31 Mar 2019
On the Vulnerability of CNN Classifiers in EEG-Based BCIs Xiao Zhang Dongrui Wu AAML 24 82 0 31 Mar 2019
BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks Huili Chen B. Rouhani F. Koushanfar 11 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 25 163 0 29 Mar 2019
A Provable Defense for Deep Residual Networks M. Mirman Gagandeep Singh Martin Vechev 27 26 0 29 Mar 2019
Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 21 219 0 28 Mar 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 12 3,358 0 28 Mar 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 28 26 0 28 Mar 2019
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets Riccardo Volpi Vittorio Murino 39 29 0 28 Mar 2019
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks Francesco Croce Jonas Rauber Matthias Hein AAML 20 30 0 27 Mar 2019
Robustness of Neural Networks to Parameter Quantization A. Murthy Himel Das Md. Ariful Islam 12 5 0 26 Mar 2019
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving Akifumi Wachi AAML 22 68 0 26 Mar 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization Yuchen Zhang Percy Liang AAML 32 75 0 25 Mar 2019
Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness J. Jacobsen Jens Behrmann Nicholas Carlini Florian Tramèr Nicolas Papernot AAML 24 46 0 25 Mar 2019
The LogBarrier adversarial attack: making effective use of decision boundary information Chris Finlay Aram-Alexandre Pooladian Adam M. Oberman AAML 26 25 0 25 Mar 2019
Robust Neural Networks using Randomized Adversarial Training Alexandre Araujo Laurent Meunier Rafael Pinot Benjamin Négrevergne AAML OOD 27 36 0 25 Mar 2019
A Formalization of Robustness for Deep Neural Networks T. Dreossi Shromona Ghosh Alberto L. Sangiovanni-Vincentelli S. Seshia GAN 39 30 0 24 Mar 2019