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Quantifying Privacy Risks of Prompts in Visual Prompt Learning Exploring ChatGPT's Capabilities on Vulnerability Management Peiyu Liu and Junming Liu, Zhejiang University NGICS Platform; ... Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction Tong Liu ... Towards More Practical Threat Models in Artificial Intelligence MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Single Pass Client-Preprocessing Private Information Retrieval Arthur Lazzaretti and Charalampos Papamanthou, Yale University ...
Malla: Demystifying Real-world Large Language Model Integrated Malicious Services Zilong Lin, Jian Cui, Xiaojing Liao, and ... Get the BEST Identity Theft Protection service for the LOWEST price: ✓ Incogni – GET THE DEAL – 50% off ... EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection Shigang Liu, CSIRO's Data61 and Swinburne ...
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USENIX Security '24 - Quantifying Privacy Risks of Prompts in Visual Prompt Learning
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Last Updated: May 23, 2026
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