4 citations · 4 across the 4 of their papers we have counts for
4 papers
Tail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification
Kunyu Wang, Dehan Wang, Wenjun Chen
Empirical ramp fitting can assign weight to pure-noise features even when the population optimum ignores them. We quantify this gap for norm-constrained adversarial classification…
Generating Visually Realistic Adversarial Patch
Xiaosen Wang, Kunyu Wang
Deep neural networks (DNNs) are vulnerable to various types of adversarial examples, bringing huge threats to security-critical applications. Among these, adversarial patches have…
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations
Kunyu Wang, Juluan Shi, Wenxuan Wang
Deep neural networks are susceptible to adversarial attacks, which pose a significant threat to their security and reliability in real-world applications. The most notable adversar…
Boosting Adversarial Transferability by Block Shuffle and Rotation
Kunyu Wang, Xuanran He, Wenxuan Wang +1
Adversarial examples mislead deep neural networks with imperceptible perturbations and have brought significant threats to deep learning. An important aspect is their transferabili…