Ensemble Adversarial Training: Attacks and Defenses

19 May 2017

Dan Boneh

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

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Title
Adversarial Attack and Defense of Structured Prediction Models Wenjuan Han Liwen Zhang Yong-jia Jiang Kewei Tu AAML 22 37 0 04 Oct 2020
Query complexity of adversarial attacks Grzegorz Gluch R. Urbanke AAML 29 5 0 02 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 25 262 0 01 Oct 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles Huanrui Yang Jingyang Zhang Hongliang Dong Nathan Inkawhich Andrew B. Gardner Andrew Touchet Wesley Wilkes Heath Berry H. Li AAML 26 107 0 30 Sep 2020
Beneficial Perturbations Network for Defending Adversarial Examples Shixian Wen A. Rios Laurent Itti AAML 6 1 0 27 Sep 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 30 782 0 24 Sep 2020
Torchattacks: A PyTorch Repository for Adversarial Attacks Hoki Kim 14 200 0 24 Sep 2020
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version) Gautam Raj Mode K. A. Hoque AAML 19 18 0 21 Sep 2020
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations A. Wong Mukund Mundhra Stefano Soatto AAML 17 27 0 21 Sep 2020
Zeroth-Order Algorithms for Smooth Saddle-Point Problems Abdurakhmon Sadiev Aleksandr Beznosikov Pavel Dvurechensky Alexander Gasnikov ODL 6 21 0 21 Sep 2020
Generating Adversarial yet Inconspicuous Patches with a Single Image Jinqi Luo Tao Bai Jun Zhao AAML 27 6 0 21 Sep 2020
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness Tuan-Anh Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML FedML 26 11 0 21 Sep 2020
Adversarial Training with Stochastic Weight Average Joong-won Hwang Youngwan Lee Sungchan Oh Yuseok Bae OOD AAML 31 11 0 21 Sep 2020
Adversarial Rain Attack and Defensive Deraining for DNN Perception Liming Zhai Felix Juefei Xu Qing Guo Xiaofei Xie Lei Ma Weiiia Feng Shengchao Qin Yang Liu AAML 28 16 0 19 Sep 2020
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning Yao Zhou Jun Wu Haixun Wang Jingrui He AAML FedML 36 26 0 18 Sep 2020
Online Alternate Generator against Adversarial Attacks Haofeng Li Yirui Zeng Guanbin Li Liang Lin Yizhou Yu AAML 17 6 0 17 Sep 2020
Robust Deep Learning Ensemble against Deception Wenqi Wei Ling Liu AAML 45 29 0 14 Sep 2020
Input Hessian Regularization of Neural Networks Waleed Mustafa Robert A. Vandermeulen Marius Kloft AAML 25 12 0 14 Sep 2020
On Robustness and Bias Analysis of BERT-based Relation Extraction Luoqiu Li Xiang Chen Hongbin Ye Zhen Bi Shumin Deng Ningyu Zhang Huajun Chen 37 18 0 14 Sep 2020
Risk Bounds for Robust Deep Learning Johannes Lederer OOD 19 16 0 14 Sep 2020
Towards the Quantification of Safety Risks in Deep Neural Networks Peipei Xu Wenjie Ruan Xiaowei Huang 16 7 0 13 Sep 2020
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning Yang Zou Zhikun Zhang Michael Backes Yang Zhang MIACV 17 32 0 10 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks Shankar A. Deka D. Stipanović Claire Tomlin AAML 30 7 0 07 Sep 2020
Detection Defense Against Adversarial Attacks with Saliency Map Dengpan Ye Chuanxi Chen Changrui Liu Hao Wang Shunzhi Jiang AAML 24 28 0 06 Sep 2020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks Nilaksh Das Haekyu Park Zijie J. Wang Fred Hohman Robert Firstman Emily Rogers Duen Horng Chau AAML 30 26 0 05 Sep 2020
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation Danilo Vasconcellos Vargas Bingli Liao Takahiro Kanzaki AAML 27 3 0 02 Sep 2020
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition Jiuniu Wang Wenjia Xu Xingyu Fu Guangluan Xu Yirong Wu 27 57 0 02 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 47 48 0 02 Sep 2020
Improving Resistance to Adversarial Deformations by Regularizing Gradients Pengfei Xia Bin Li AAML 30 4 0 29 Aug 2020
Adversarially Robust Learning via Entropic Regularization Gauri Jagatap Ameya Joshi A. B. Chowdhury S. Garg Chinmay Hegde OOD 35 11 0 27 Aug 2020
Adversarially Training for Audio Classifiers Raymel Alfonso Sallo Mohammad Esmaeilpour P. Cardinal AAML 20 8 0 26 Aug 2020
Towards adversarial robustness with 01 loss neural networks Yunzhe Xue Meiyan Xie Usman Roshan OOD AAML 46 5 0 20 Aug 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 24 19 0 19 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks Elahe Arani F. Sarfraz Bahram Zonooz AAML 22 9 0 16 Aug 2020
Relevance Attack on Detectors Sizhe Chen Fan He Xiaolin Huang Kun Zhang AAML 24 16 0 16 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 32 73 0 07 Aug 2020
Trojaning Language Models for Fun and Profit Xinyang Zhang Zheng Zhang Shouling Ji Ting Wang SILM AAML 25 132 0 01 Aug 2020
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 34 237 0 30 Jul 2020
Black-box Adversarial Sample Generation Based on Differential Evolution Junyu Lin Lei Xu Yingqi Liu Xinming Zhang AAML 20 35 0 30 Jul 2020
A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks Yi Zeng Han Qiu G. Memmi Meikang Qiu AAML 29 50 0 30 Jul 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli GAN AAML 28 16 0 29 Jul 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Xiaoyu Zhang Ajmal Mian Rohit Gupta Nazanin Rahnavard M. Shah AAML 34 26 0 28 Jul 2020
Attacking and Defending Machine Learning Applications of Public Cloud Dou Goodman Xin Hao SILM AAML 27 7 0 27 Jul 2020
Towards Visual Distortion in Black-Box Attacks Nannan Li Zhenzhong Chen 30 12 0 21 Jul 2020
Exploiting vulnerabilities of deep neural networks for privacy protection Ricardo Sánchez-Matilla C. Li Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML PICV 13 24 0 19 Jul 2020
Understanding and Diagnosing Vulnerability under Adversarial Attacks Haizhong Zheng Ziqi Zhang Honglak Lee A. Prakash FAtt AAML 45 6 0 17 Jul 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 19 33 0 16 Jul 2020
Odyssey: Creation, Analysis and Detection of Trojan Models Marzieh Edraki Nazmul Karim Nazanin Rahnavard Ajmal Mian M. Shah AAML 30 13 0 16 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 32 138 0 14 Jul 2020