Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet

3 September 2023

Papers citing "Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet"

5 / 5 papers shown

Title
Unlocking Deterministic Robustness Certification on ImageNet Kaiqin Hu Andy Zou Zifan Wang Klas Leino Matt Fredrikson OOD 21 12 0 29 Jan 2023
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 71 473 0 02 Feb 2021
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 151 113 0 05 Mar 2020
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 124 103 0 17 Oct 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,830 0 08 Jul 2016