9 citations · 18 across the 6 of their papers we have counts for
6 papers
Nimbus: Toward Speed Up Function Signature Recovery via Input Resizing and Multi-Task Learning
Yi Qian, Ligeng Chen, Yuyang Wang +1
Function signature recovery is important for many binary analysis tasks such as control-flow integrity enforcement, clone detection, and bug finding. Existing works try to substitu…
AVMiner: Expansible and Semantic-Preserving Anti-Virus Labels Mining Method
Ligeng Chen, Zhongling He, Hao Wu +2
With the increase in the variety and quantity of malware, there is an urgent need to speed up the diagnosis and the analysis of malware. Extracting the malware family-related token…
RoBin: Facilitating the Reproduction of Configuration-Related Vulnerability
Ligeng Chen, Jian Guo, Zhongling He +2
Vulnerability reproduction paves a way in debugging software failures, which need intensive manual efforts. However, some key factors (e.g., software configuration, trigger method)…
SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask
Chengbin Pang, Ruotong Yu, Yaohui Chen +4
Disassembly of binary code is hard, but necessary for improving the security of binary software. Over the past few decades, research in binary disassembly has produced many tools a…
An Empirical Study on Benchmarks of Artificial Software Vulnerabilities
Sijia Geng, Yuekang Li, Yunlan Du +3
Recently, various techniques (e.g., fuzzing) have been developed for vulnerability detection. To evaluate those techniques, the community has been developing benchmarks of artifici…
PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary
Yaohui Chen, Dongliang Mu, Jun Xu +5
Despite its effectiveness in uncovering software defects, American Fuzzy Lop (AFL), one of the best grey-box fuzzers, is inefficient when fuzz-testing source-unavailable programs.…