Defending Against Image Corruptions Through Adversarial Augmentations

2 April 2021

Papers citing "Defending Against Image Corruptions Through Adversarial Augmentations"

7 / 7 papers shown

Title
Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar Souvik Kundu P. Beerel AAML 13 0 0 08 Feb 2024
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 19 106 0 26 Oct 2021
Score-Based Generative Classifiers Roland S. Zimmermann Lukas Schott Yang Song Benjamin A. Dunn David A. Klindt DiffM 22 63 0 01 Oct 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 676 0 19 Oct 2020
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 174 302 0 21 May 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 294 10,216 0 16 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 263 5,833 0 08 Jul 2016