Peng XuPeng Xu has focused on AI for system security, large language model (LLM) security, graph neural networks, program analysis, compiler design, optimization, and cybersecurity. He completed his master's at the Chinese Academy of Science in 2013 and purued a PhD in IT security at TUM from 2015 to 2019. He is currently awaiting his dissertation defense. Peng's research topics include malware detection, private computation, and software vulnerability mitigation using compiler-based approaches. Peng is currently working as a principal engineer in compiler optimization and programming LLMs, especially on the topics of using LLMs to generate code blocks to detect malicious code as well as bug localization. Read More Read Less