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Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

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Title
Voting for the right answer: Adversarial defense for speaker verification Haibin Wu Yang Zhang Zhiyong Wu Dong Wang Hung-yi Lee AAML 76 25 0 15 Jun 2021
Certification of embedded systems based on Machine Learning: A survey Guillaume Vidot Christophe Gabreau I. Ober Iulian Ober 51 12 0 14 Jun 2021
Boosting Randomized Smoothing with Variance Reduced Classifiers Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev AAML UQCV 90 48 0 13 Jun 2021
CARTL: Cooperative Adversarially-Robust Transfer Learning Dian Chen Hongxin Hu Qian Wang Yinli Li Cong Wang Chao Shen Qi Li 48 14 0 12 Jun 2021
Adversarial purification with Score-based generative models Jongmin Yoon Sung Ju Hwang Juho Lee DiffM 96 160 0 11 Jun 2021
Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training Dawei Zhou N. Wang Xinbo Gao Bo Han Jun Yu Xiaoyu Wang Tongliang Liu AAML 71 4 0 10 Jun 2021
Towards the Memorization Effect of Neural Networks in Adversarial Training Han Xu Xiaorui Liu Wentao Wang Wenbiao Ding Zhongqin Wu Zitao Liu Anil K. Jain Jiliang Tang TDI AAML 117 7 0 09 Jun 2021
Adversarial Attack and Defense in Deep Ranking Mo Zhou Le Wang Zhenxing Niu Qilin Zhang N. Zheng G. Hua OOD 83 15 0 07 Jun 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness Zifeng Wang T. Jian A. Masoomi Stratis Ioannidis Jennifer Dy AAML 72 26 0 04 Jun 2021
Exploring Memorization in Adversarial Training Yinpeng Dong Ke Xu Xiao Yang Tianyu Pang Zhijie Deng Hang Su Jun Zhu TDI 58 74 0 03 Jun 2021
Minimax Optimization with Smooth Algorithmic Adversaries Tanner Fiez Chi Jin Praneeth Netrapalli Lillian J. Ratliff AAML 54 11 0 02 Jun 2021
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning Haibin Wu Xu Li Andy T. Liu Zhiyong Wu Helen Meng Hung-yi Lee AAML SSL 116 30 0 01 Jun 2021
DeepMoM: Robust Deep Learning With Median-of-Means Shih-Ting Huang Johannes Lederer FedML 74 6 0 28 May 2021
Robust Regularization with Adversarial Labelling of Perturbed Samples Xiaohui Guo Richong Zhang Yaowei Zheng Yongyi Mao AAML 36 0 0 28 May 2021
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training Yatong Bai Tanmay Gautam Yujie Gai Somayeh Sojoudi AAML 95 3 0 25 May 2021
Local Aggressive Adversarial Attacks on 3D Point Cloud Yiming Sun F. Chen Zhiyu Chen Mingjie Wang 3DPC AAML 64 16 0 19 May 2021
On the Robustness of Domain Constraints Ryan Sheatsley Blaine Hoak Eric Pauley Yohan Beugin Mike Weisman Patrick McDaniel AAML OOD 88 26 0 18 May 2021
Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang Zheng Zhang Baoyuan Wu Fumin Shen Guangming Lu AAML GAN 129 46 0 17 May 2021
High-Robustness, Low-Transferability Fingerprinting of Neural Networks Siyue Wang Xiao Wang Pin-Yu Chen Pu Zhao Xue Lin AAML 69 2 0 14 May 2021
Biometrics: Trust, but Verify Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 91 84 0 14 May 2021
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs Lorena Qendro Sangwon Ha R. D. Jong Partha P. Maji AAML FedML MQ 62 7 0 13 May 2021
Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control Feng Wang M. C. Gursoy Senem Velipasalar AAML 51 12 0 12 May 2021
AVA: Adversarial Vignetting Attack against Visual Recognition Binyu Tian Felix Juefei Xu Qing Guo Xiaofei Xie Xiaohong Li Yang Liu AAML 81 33 0 12 May 2021
Adversarial examples attack based on random warm restart mechanism and improved Nesterov momentum Tian-zhou Li AAML 42 1 0 10 May 2021
Robust Training Using Natural Transformation Shuo Wang Lingjuan Lyu Surya Nepal Carsten Rudolph M. Grobler Kristen Moore AAML OOD 46 2 0 10 May 2021
Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction Ferhat Ozgur Catak Evren Çatak Murat Kuzlu Umit Cali Devrim Unal AAML 74 47 0 09 May 2021
Learning Image Attacks toward Vision Guided Autonomous Vehicles Hyung-Jin Yoon H. Jafarnejadsani P. Voulgaris AAML 36 3 0 09 May 2021
Self-Supervised Adversarial Example Detection by Disentangled Representation Zhaoxi Zhang L. Zhang Xufei Zheng Jinyu Tian Jiantao Zhou AAML DRL 87 9 0 08 May 2021
Understanding Catastrophic Overfitting in Adversarial Training Peilin Kang Seyed-Mohsen Moosavi-Dezfooli AAML 63 16 0 06 May 2021
Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model Ruoxi Qin Linyuan Wang Xing-yuan Chen Xuehui Du Bin Yan AAML 69 5 0 06 May 2021
Who's Afraid of Adversarial Transferability? Ziv Katzir Yuval Elovici SILM AAML 88 9 0 02 May 2021
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks Jun-Ho Choi Huan Zhang Jun-Hyuk Kim Cho-Jui Hsieh Jong-Seok Lee VLM 62 8 0 30 Apr 2021
Learning Robust Variational Information Bottleneck with Reference Weizhu Qian Bowei Chen Xiaowei Huang AAML 35 1 0 29 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 130 58 0 29 Apr 2021
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT Pavlos Papadopoulos Oliver Thornewill von Essen Nikolaos Pitropakis C. Chrysoulas Alexios Mylonas William J. Buchanan AAML 98 50 0 26 Apr 2021
3D Adversarial Attacks Beyond Point Cloud Jinlai Zhang Lyujie Chen Binbin Liu Bojun Ouyang Qizhi Xie Jihong Zhu Weiming Li Yanmei Meng 3DPC 79 41 0 25 Apr 2021
Dual Head Adversarial Training Yujing Jiang Xingjun Ma S. Erfani James Bailey AAML 59 4 0 21 Apr 2021
Staircase Sign Method for Boosting Adversarial Attacks Qilong Zhang Xiaosu Zhu Jingkuan Song Lianli Gao Heng Tao Shen AAML 94 13 0 20 Apr 2021
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise Difan Zou Spencer Frei Quanquan Gu 61 13 0 19 Apr 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features Yunrui Yu Xitong Gao Chengzhong Xu AAML FedML 91 46 0 19 Apr 2021
Removing Adversarial Noise in Class Activation Feature Space Dawei Zhou N. Wang Chunlei Peng Xinbo Gao Xiaoyu Wang Jun Yu Tongliang Liu AAML 66 29 0 19 Apr 2021
Direction-Aggregated Attack for Transferable Adversarial Examples Tianjin Huang Vlado Menkovski Yulong Pei Yuhao Wang Mykola Pechenizkiy AAML 78 15 0 19 Apr 2021
Achieving Model Robustness through Discrete Adversarial Training Maor Ivgi Jonathan Berant AAML 77 28 0 11 Apr 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach Simiao Zuo Chen Liang Haoming Jiang Xiaodong Liu Pengcheng He Jianfeng Gao Weizhu Chen T. Zhao 129 9 0 11 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 105 67 0 09 Apr 2021
The art of defense: letting networks fool the attacker Jinlai Zhang Lyvjie Chen Binbin Liu Bojun Ouyang Jihong Zhu Minchi Kuang Houqing Wang Yanmei Meng AAML 3DPC 78 16 0 07 Apr 2021
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection Aixuan Li Jing Zhang Yun-Qiu Lv Bowen Liu Tong Zhang Yuchao Dai 97 213 0 06 Apr 2021
A Review of Formal Methods applied to Machine Learning Caterina Urban Antoine Miné 97 57 0 06 Apr 2021
Can audio-visual integration strengthen robustness under multimodal attacks? Yapeng Tian Chenliang Xu AAML 107 39 0 05 Apr 2021
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 122 11 0 01 Apr 2021