On Adaptive Attacks to Adversarial Example Defenses

19 February 2020

Wieland Brendel

Papers citing "On Adaptive Attacks to Adversarial Example Defenses"

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Title
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection Byunggill Joe Jihun Hamm Sung Ju Hwang Sooel Son I. Shin AAML OOD 30 0 0 07 Dec 2020
FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques Han Qiu Yi Zeng Tianwei Zhang Yong-jia Jiang Meikang Qiu AAML 6 15 0 03 Dec 2020
Content-Adaptive Pixel Discretization to Improve Model Robustness Ryan Feng Wu-chi Feng Atul Prakash AAML 18 0 0 03 Dec 2020
Adversarial Robustness Across Representation Spaces Pranjal Awasthi George Yu Chun-Sung Ferng Andrew Tomkins Da-Cheng Juan OOD AAML 8 11 0 01 Dec 2020
Voting based ensemble improves robustness of defensive models Devvrit Minhao Cheng Cho-Jui Hsieh Inderjit Dhillon OOD FedML AAML 25 12 0 28 Nov 2020
Transdisciplinary AI Observatory -- Retrospective Analyses and Future-Oriented Contradistinctions Nadisha-Marie Aliman L. Kester Roman V. Yampolskiy 8 13 0 26 Nov 2020
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption Ivan Evtimov Russ Howes Brian Dolhansky Hamed Firooz Cristian Canton Ferrer AAML 6 10 0 25 Nov 2020
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks Jiachen Sun Karl Koenig Yulong Cao Qi Alfred Chen Z. Morley Mao 3DPC 8 20 0 24 Nov 2020
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack Rui Shu Tianpei Xia Laurie A. Williams Tim Menzies AAML 10 15 0 23 Nov 2020
A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations Can Bakiskan Metehan Cekic Ahmet Dundar Sezer Upamanyu Madhow AAML 15 0 0 21 Nov 2020
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification Weitao Wan Jiansheng Chen Cheng Yu Tong Wu Yuanyi Zhong Ming-Hsuan Yang 9 7 0 18 Nov 2020
Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks Maungmaung Aprilpyone Hitoshi Kiya FedML 9 1 0 16 Nov 2020
Adversarial Image Color Transformations in Explicit Color Filter Space Zhengyu Zhao Zhuoran Liu Martha Larson AAML 8 12 0 12 Nov 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks Tao Bai Jinqi Luo Jun Zhao AAML 26 8 0 03 Nov 2020
Integer Programming-based Error-Correcting Output Code Design for Robust Classification Samarth Gupta Saurabh Amin 6 4 0 30 Oct 2020
Adversarial Robustness of Supervised Sparse Coding Jeremias Sulam Ramchandran Muthumukar R. Arora AAML 26 23 0 22 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 674 0 19 Oct 2020
Improve Adversarial Robustness via Weight Penalization on Classification Layer Cong Xu Dan Li Min Yang AAML 9 4 0 08 Oct 2020
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense Maungmaung Aprilpyone Hitoshi Kiya 11 57 0 02 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 6 261 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 6 106 0 30 Sep 2020
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence Chang Liao Yao Cheng Chengfang Fang Jie Shi 14 1 0 28 Sep 2020
Adversarial robustness via stochastic regularization of neural activation sensitivity Gil Fidel Ron Bitton Ziv Katzir A. Shabtai AAML 6 1 0 23 Sep 2020
Semantics-Preserving Adversarial Training Won-Ok Lee Hanbit Lee Sang-goo Lee AAML 17 2 0 23 Sep 2020
A Partial Break of the Honeypots Defense to Catch Adversarial Attacks Nicholas Carlini AAML 14 8 0 23 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 8 11 0 21 Sep 2020
Efficient Certification of Spatial Robustness Anian Ruoss Maximilian Baader Mislav Balunović Martin Vechev AAML 6 25 0 19 Sep 2020
Certifying Confidence via Randomized Smoothing Aounon Kumar Alexander Levine S. Feizi Tom Goldstein UQCV 17 38 0 17 Sep 2020
An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder Liang Liang Linhai Ma Linchen Qian Jiasong Chen OODD 6 2 0 17 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos Shao-Yuan Lo Vishal M. Patel AAML 18 23 0 11 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo-wen Li AAML 11 128 0 09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 6 154 0 08 Sep 2020
Improving Resistance to Adversarial Deformations by Regularizing Gradients Pengfei Xia Bin Li AAML 19 4 0 29 Aug 2020
$On $\ell_p$-norm Robustness of Ensemble Stumps and Trees$ On $\ell_p$ -norm Robustness of Ensemble Stumps and Trees Yihan Wang Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh AAML 10 7 0 20 Aug 2020
Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems Arindam Jati Chin-Cheng Hsu Monisankha Pal Raghuveer Peri Wael AbdAlmageed Shrikanth Narayanan AAML 8 65 0 18 Aug 2020
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length Linhai Ma Liang Liang 6 8 0 08 Aug 2020
Robust Deep Reinforcement Learning through Adversarial Loss Tuomas P. Oikarinen Wang Zhang Alexandre Megretski Luca Daniel Tsui-Wei Weng AAML 17 92 0 05 Aug 2020
TREND: Transferability based Robust ENsemble Design Deepak Ravikumar Sangamesh Kodge Isha Garg Kaushik Roy OOD AAML 12 4 0 04 Aug 2020
A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks Yi Zeng Han Qiu G. Memmi Meikang Qiu AAML 16 49 0 30 Jul 2020
A General Framework For Detecting Anomalous Inputs to DNN Classifiers Jayaram Raghuram Varun Chandrasekaran S. Jha Suman Banerjee AAML 17 32 0 29 Jul 2020
Provably Robust Adversarial Examples Dimitar I. Dimitrov Gagandeep Singh Timon Gehr Martin Vechev AAML 11 11 0 23 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 30 585 0 17 Jul 2020
Adversarial Examples and Metrics Nico Döttling Kathrin Grosse Michael Backes Ian Molloy AAML 24 0 0 14 Jul 2020
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems H. Abdullah Kevin Warren Vincent Bindschaedler Nicolas Papernot Patrick Traynor AAML 17 128 0 13 Jul 2020
Security and Machine Learning in the Real World Ivan Evtimov Weidong Cui Ece Kamar Emre Kıcıman Tadayoshi Kohno J. Li AAML 6 15 0 13 Jul 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip H. S. Torr NoLa AAML 9 57 0 08 Jul 2020
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain Ishai Rosenberg A. Shabtai Yuval Elovici L. Rokach AAML 16 12 0 05 Jul 2020
Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks Kishor Datta Gupta Zahid Akhtar D. Dasgupta AAML 14 9 0 01 Jul 2020
Geometry-Inspired Top-k Adversarial Perturbations Nurislam Tursynbek Aleksandr Petiushko Ivan V. Oseledets AAML 12 10 0 28 Jun 2020
Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness Xingjun Ma Linxi Jiang Hanxun Huang Zejia Weng James Bailey Yu-Gang Jiang AAML 20 10 0 24 Jun 2020