Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization

11 April 2024

Papers citing "Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization"

5 / 5 papers shown

Title
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 19 1 0 02 Oct 2024
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Runqi Lin Chaojian Yu Bo Han Tongliang Liu 15 7 0 13 Oct 2023
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 162 67 0 28 Feb 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training Pau de Jorge Adel Bibi Riccardo Volpi Amartya Sanyal Philip H. S. Torr Grégory Rogez P. Dokania AAML 38 45 0 02 Feb 2022
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 219 1,818 0 03 Feb 2017