1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CR2025★ 1 cited
Directed Greybox Fuzzing via Large Language Model
Hanxiang Xu, Yanjie Zhao, Haoyu Wang
Directed greybox fuzzing (DGF) focuses on efficiently reaching specific program locations or triggering particular behaviors, making it essential for tasks like vulnerability detec…
cs.SE2024
CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
Hanxiang Xu, Wei Ma, Ting Zhou +5
In recent years, the programming capabilities of large language models (LLMs) have garnered significant attention. Fuzz testing, a highly effective technique, plays a key role in e…
cs.CR2024
Large Language Models for Cyber Security: A Systematic Literature Review
Hanxiang Xu, Shenao Wang, Ningke Li +6
The rapid advancement of Large Language Models (LLMs) has opened up new opportunities for leveraging artificial intelligence in a variety of application domains, including cybersec…