Is RobustBench/AutoAttack a suitable Benchmark for Adversarial
Robustness?

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

2 December 2021

Dominik Strassel

Papers citing "Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?"

10 / 10 papers shown

Title
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models Patrick Müller Alexander Braun M. Keuper 59 0 0 25 Apr 2025
AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses Nicholas Carlini Javier Rando Edoardo Debenedetti Milad Nasr F. Tramèr AAML ELM 47 2 0 03 Mar 2025
A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection Leonid Boytsov Ameya Joshi Filipe Condessa AAML 37 0 0 26 Feb 2024
Classification robustness to common optical aberrations Patrick Müller Alexander Braun M. Keuper 33 10 0 29 Aug 2023
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection P. Lorenz M. Keuper J. Keuper AAML 24 7 0 13 Dec 2022
Adversarial Robustness through the Lens of Convolutional Filters Paul Gavrikov J. Keuper 38 15 0 05 Apr 2022
FrequencyLowCut Pooling -- Plug & Play against Catastrophic Overfitting Julia Grabinski Steffen Jung J. Keuper M. Keuper AAML 16 22 0 01 Apr 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 32 120 0 21 Feb 2022
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 234 680 0 19 Oct 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 317 5,847 0 08 Jul 2016