Lili Quan
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This survey analyzes privacy-enhancing encryption technologies (ABE, PRE, SE) for data sharing, proposing a comprehensive framework, identifying potential attacks, and evaluating their multi-dimensional impact on security, performance, and functionality.
The paper addresses the gap in understanding real-world LLM-in-the-loop vulnerabilities by creating the LLMCVE dataset and demonstrating that these vulnerabilities are significantly harder to repair than conventional software flaws.
Papers
Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities
Yujie Ma, Jialin Rong, Chenxi Yang, Lili Quan +3 more
The paper addresses the gap in understanding real-world LLM-in-the-loop vulnerabilities by creating the LLMCVE dataset and demonstrating that these vulnerabilities are significantly harder to repair t…