3 papers
cs.CV2025
Distillation-Enhanced Physical Adversarial Attacks
Wei Liu, Yonglin Wu, Chaoqun Li +2
The study of physical adversarial patches is crucial for identifying vulnerabilities in AI-based recognition systems and developing more robust deep learning models. While recent r…
cs.CV2024
CapGen:An Environment-Adaptive Generator of Adversarial Patches
Chaoqun Li, Zhuodong Liu, Huanqian Yan +1
Adversarial patches, often used to provide physical stealth protection for critical assets and assess perception algorithm robustness, usually neglect the need for visual harmony w…
cs.CV2024
Prompt-Guided Environmentally Consistent Adversarial Patch
Chaoqun Li, Huanqian Yan, Lifeng Zhou +3
Adversarial attacks in the physical world pose a significant threat to the security of vision-based systems, such as facial recognition and autonomous driving. Existing adversarial…