2 papers
cs.CV2026
Diffusion-based Cumulative Adversarial Purification for Vision Language Models
Jia Fu, Yongtao Wu, Yihang Chen +5
Vision Language Models (VLMs) have shown remarkable capabilities in multimodal understanding, yet their susceptibility to adversarial perturbations poses a significant threat to th…
cs.CV2024
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination
Jia Fu, Xiao Zhang, Sepideh Pashami +2
In the ever-evolving adversarial machine learning landscape, developing effective defenses against patch attacks has become a critical challenge, necessitating reliable solutions t…