2 papers
cs.LG2026
Enhancing Adversarial Transferability through Block Stretch and Shrink
Quan Liu, Feng Ye, Chenhao Lu +4
Input transformation-based attacks improve adversarial transferability by aggregating gradients over transformed inputs. Existing analyses mainly explain their efficacy from image…
cs.CV2025
Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs
Lu Chen, Han Yang, Hu Wang +3
Adversarial examples have attracted significant attention over the years, yet understanding their frequency-based characteristics remains insufficient. In this paper, we investigat…