22 citations · 23 across the 3 of their papers we have counts for
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cs.SE2024
When Fuzzing Meets LLMs: Challenges and Opportunities
Yu Jiang, Jie Liang, Fuchen Ma +8
Fuzzing, a widely-used technique for bug detection, has seen advancements through Large Language Models (LLMs). Despite their potential, LLMs face specific challenges in fuzzing. I…
cs.SE2021★ 1 cited
Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing
Mingzhe Wang, Zhiyong Wu, Xinyi Xu +4
As an infrastructure for data persistence and analysis, Database Management Systems (DBMSs) are the cornerstones of modern enterprise software. To improve their correctness, the in…
cs.SE2018★ 22 cited
EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers
Yuanliang Chen, Yu Jiang, Fuchen Ma +5
Fuzzing is widely used for software vulnerability detection. There are various kinds of fuzzers with different fuzzing strategies, and most of them perform well on their targets. H…