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cs.CR2025
Argus: A Multi-Agent Sensitive Information Leakage Detection Framework Based on Hierarchical Reference Relationships
Bin Wang, Hui Li, Liyang Zhang +5
Sensitive information leakage in code repositories has emerged as a critical security challenge. Traditional detection methods that rely on regular expressions, fingerprint feature…
cs.CR2025
MCPGuard : Automatically Detecting Vulnerabilities in MCP Servers
Bin Wang, Zexin Liu, Hao Yu +6
The Model Context Protocol (MCP) has emerged as a standardized interface enabling seamless integration between Large Language Models (LLMs) and external data sources and tools. Whi…
cs.CR2025
PiCo: Jailbreaking Multimodal Large Language Models via Pictorial Code Contextualization
Aofan Liu, Lulu Tang, Ting Pan +3
Multimodal Large Language Models (MLLMs), which integrate vision and other modalities into Large Language Models (LLMs), significantly enhance AI capabilities but also introduce ne…