PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking
Authors: Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal | Published: 2020-05-17 | Updated: 2021-03-31
ロバスト性分析
Improved Image Wasserstein Attacks and Defenses
Authors: Edward J. Hu, Adith Swaminathan, Hadi Salman, Greg Yang | Published: 2020-04-26 | Updated: 2023-05-09
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
Authors: Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor | Published: 2020-04-24
How to compare adversarial robustness of classifiers from a global perspective
Authors: Niklas Risse, Christina Göpfert, Jan Philip Göpfert | Published: 2020-04-22 | Updated: 2020-10-15
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method
Authors: J. Matias Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro | Published: 2020-04-03
A simple way to make neural networks robust against diverse image corruptions
Authors: Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel | Published: 2020-01-16 | Updated: 2020-07-22
Universal Lipschitz Approximation in Bounded Depth Neural Networks
Authors: Jeremy E. J. Cohen, Todd Huster, Ra Cohen | Published: 2019-04-09
Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Authors: Pang Wei Koh, Jacob Steinhardt, Percy Liang | Published: 2018-11-02 | Updated: 2021-12-03
Certified Adversarial Robustness with Additive Noise
Authors: Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin | Published: 2018-09-10 | Updated: 2019-11-10
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure
Authors: Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody | Published: 2018-09-09 | Updated: 2018-11-06