2024
Improving Adversarial Transferability via Model Alignment
ECCV 2024poster
"Neural networks are susceptible to adversarial perturbations that are transferable across different models. In this paper, we introduce a novel model alignment technique aimed at improving a given source model’s ability in generating transferable adversarial perturbations. During the alignment proc…