1 citations · 1 across the 1 of their papers we have counts for
4 papers
Prompt Fuzzing for Fuzz Driver Generation
Yunlong Lyu, Yuxuan Xie, Peng Chen +1
Crafting high-quality fuzz drivers not only is time-consuming but also requires a deep understanding of the library. However, the state-of-the-art automatic fuzz driver generation…
HOPPER: Interpretative Fuzzing for Libraries
Peng Chen, Yuxuan Xie, Yunlong Lyu +2
Despite the fact that the state-of-the-art fuzzers can generate inputs efficiently, existing fuzz drivers still cannot adequately cover entries in libraries. Most of these fuzz dri…
Matryoshka: Fuzzing Deeply Nested Branches
Peng Chen, Jianzhong Liu, Hao Chen
Greybox fuzzing has made impressive progress in recent years, evolving from heuristics-based random mutation to approaches for solving individual path constraints. However, they ha…
Angora: Efficient Fuzzing by Principled Search
Peng Chen, Hao Chen
Fuzzing is a popular technique for finding software bugs. However, the performance of the state-of-the-art fuzzers leaves a lot to be desired. Fuzzers based on symbolic execution p…