Improving Model Robustness by Adaptively Correcting Perturbation Levels
with Active Queries

Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries

27 March 2021

Sheng-Jun Huang

Papers citing "Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries"

11 / 11 papers shown

Title
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 177 827 0 19 Feb 2020
CAT: Customized Adversarial Training for Improved Robustness Minhao Cheng Qi Lei Pin-Yu Chen Inderjit Dhillon Cho-Jui Hsieh OOD AAML 50 115 0 17 Feb 2020
MNIST-C: A Robustness Benchmark for Computer Vision Norman Mu Justin Gilmer 52 207 0 05 Jun 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 72 794 0 25 Apr 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations Eric Wong Frank R. Schmidt J. Zico Kolter AAML 60 211 0 21 Feb 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 63 894 0 18 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 94 2,018 0 08 Feb 2019
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 350 921 0 21 Apr 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks J. Uesato Brendan O'Donoghue Aaron van den Oord Pushmeet Kohli AAML 124 600 0 15 Feb 2018
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 151 18,534 0 06 Feb 2015
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 157 14,831 1 21 Dec 2013