PubDef: Defending Against Transfer Attacks From Public Models

26 October 2023

Papers citing "PubDef: Defending Against Transfer Attacks From Public Models"

6 / 6 papers shown

Title
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 57 1 0 27 Feb 2024
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks Ryan Feng Ashish Hooda Neal Mangaokar Kassem Fawaz S. Jha Atul Prakash AAML 60 11 0 11 Mar 2023
Efficient and Effective Augmentation Strategy for Adversarial Training Sravanti Addepalli Samyak Jain R. Venkatesh Babu AAML 60 58 0 27 Oct 2022
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 214 400 0 24 Jan 2022
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 68 192 0 31 Jan 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 674 0 19 Oct 2020