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cs.CR2026
Protecting Floating-Point Computation for DNN Binaries with MBA Obfuscation
Yikun Hu, Zichen Zhao, Peixiang Qin +4
This submission was made prematurely and has been withdrawn by the authors for substantial revision before further dissemination.
cs.CR2026
Ghost in the Agent: Redefining Information Flow Tracking for LLM Agents
Yuandao Cai, Wensheng Tang, Cheng Wen +1
Autonomous Large Language Model (LLM) agents are increasingly deployed to conduct complex tasks by interacting with external tools, APIs, and memory stores. However, processing unt…
cs.CR2026
Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection
Zi Liang, Qipeng Xie, Jun He +7
Recent advancements in Large Language Models (LLMs) have sparked interest in their application to Static Application Security Testing (SAST), primarily due to their superior contex…