Recent Advances in Understanding Adversarial Robustness of Deep Neural
Networks

Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks

3 November 2020

Jun Zhao

Papers citing "Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks"

8 / 8 papers shown

Title
Adversarial Parameter Attack on Deep Neural Networks Lijia Yu Yihan Wang Xiao-Shan Gao AAML 21 8 0 20 Mar 2022
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks Lijia Yu Xiao-Shan Gao AAML 16 5 0 08 Nov 2021
A Robust Classification-autoencoder to Defend Outliers and Adversaries Lijia Yu Xiao-Shan Gao AAML 19 2 0 30 Jun 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 228 676 0 19 Oct 2020
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 131 103 0 17 Oct 2019
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 188 272 0 03 Dec 2018
Transferable Adversarial Attacks for Image and Video Object Detection Xingxing Wei Siyuan Liang Ning Chen Xiaochun Cao AAML 74 221 0 30 Nov 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 245 914 0 21 Apr 2018