3 papers
cs.CR2025
An Empirical Study on the Security Vulnerabilities of GPTs
Tong Wu, Weibin Wu, Zibin Zheng
Equipped with various tools and knowledge, GPTs, one kind of customized AI agents based on OpenAI's large language models, have illustrated great potential in many fields, such as…
cs.CV2025
Blind Spot Navigation: Evolutionary Discovery of Sensitive Semantic Concepts for LVLMs
Zihao Pan, Yu Tong, Weibin Wu +6
Adversarial attacks aim to generate malicious inputs that mislead deep models, but beyond causing model failure, they cannot provide certain interpretable information such as ``\te…
cs.CV2025
SCA: Improve Semantic Consistent in Unrestricted Adversarial Attacks via DDPM Inversion
Zihao Pan, Lifeng Chen, Weibin Wu +2
Systems based on deep neural networks are vulnerable to adversarial attacks. Unrestricted adversarial attacks typically manipulate the semantic content of an image (e.g., color or…