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cs.CV2025
DBLP: Noise Bridge Consistency Distillation For Efficient And Reliable Adversarial Purification
Chihan Huang, Belal Alsinglawi, Islam Al-qudah
Recent advances in deep neural networks (DNNs) have led to remarkable success across a wide range of tasks. However, their susceptibility to adversarial perturbations remains a cri…
cs.CV2025
ScoreAdv: Score-based Targeted Generation of Natural Adversarial Examples via Diffusion Models
Chihan Huang, Hao Tang
Despite the success of deep learning across various domains, it remains vulnerable to adversarial attacks. Although many existing adversarial attack methods achieve high success ra…