AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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An empirical evaluation of mainstream Rust SAST tools using security vulnerabilities identified in real-world Rust applications is conducted and a large language model (LLM)-assisted automated testing framework, TRUST, is proposed, which automatically analyzes the official Rust reference to derive and implement semanti...
LLM agents use skills to improve performance on specialized tasks. To complete a user request, an agent may invoke several skills in sequence, allowing information produced under one skill to guide the next. Because skills may come from open-source repositories, this handoff can also carry attacker-controlled claims in...
VulnGym is a real-world repository-level benchmark for evaluating vulnerability detection by coding agents that aligns reviewed GitHub advisories with their corresponding vulnerable version repositories and defines an end-to-end detection task and three oracle-based subtasks to jointly evaluate vulnerability detection...
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