Learning to Transform Dynamically for Better Adversarial Transferability

R Zhu, Z Zhang, S Liang, Z Liu… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Adversarial examples crafted by adding perturbations imperceptible to humans can deceive
neural networks. Recent studies identify the adversarial transferability across various …