Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples

21 December 2023

Papers citing "Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples"

5 / 5 papers shown

Title
Causality-Driven Neural Network Repair: Challenges and Opportunities Fatemeh Vares Brittany Johnson AAML 43 0 0 24 Apr 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data Lilin Zhang Chengpei Wu Ning Yang 32 0 0 14 Mar 2025
Mind the box: $l_1$ -APGD for sparse adversarial attacks on image classifiers Francesco Croce Matthias Hein AAML 40 54 0 01 Mar 2021
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 174 302 0 21 May 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,830 0 08 Jul 2016