Wang Hanyu (She/Her)

student, The University of Hong Kong

Fuzzing with Hopper++: Applying LLM to Program Generation and Software Security

The focus of this research is to leverage the power of Generative AI and apply Large Language Model to fuzz testing. Based on the previous interpretative fuzzing project Hopper, this work introduces Hopper++, an enhanced version that incorporates an LLM module to automate fuzzing.
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Sep 20, 2025