Ziyu Yao Announces EMNLP Paper on LLM Code Security

Ziyu Yao posted about a new main paper at EMNLP written with student Hao Yan. The work focuses on code security concerns with current large language models. Yao states that existing mitigation approaches mostly treat the LLM as a blackbox. Their inspection shows these approaches often present a security-correctness tradeoff. The methods improve code security by removing its fun. The post from the GMU assistant professor highlights the tradeoff finding from the analysis of mitigation techniques for LLM generated code.