17 citations · 58 across the 25 of their papers we have counts for
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cs.CR2023★ 6 cited
DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions
Fangzhou Wu, Xiaogeng Liu, Chaowei Xiao
With the advancement of Large Language Models (LLMs), significant progress has been made in code generation, enabling LLMs to transform natural language into programming code. Thes…
cs.CR2023★ 3 cited
Exploring the Limits of ChatGPT in Software Security Applications
Fangzhou Wu, Qingzhao Zhang, Ati Priya Bajaj +4
Large language models (LLMs) have undergone rapid evolution and achieved remarkable results in recent times. OpenAI's ChatGPT, backed by GPT-3.5 or GPT-4, has gained instant popula…