115 citations · 330 across the 22 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 107 cited
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang, Mark Harman, Lei Ma +1
This paper provides a comprehensive survey of Machine Learning Testing (ML testing) research. It covers 144 papers on testing properties (e.g., correctness, robustness, and fairnes…
cs.CR2019★ 8 cited
Superion: Grammar-Aware Greybox Fuzzing
Junjie Wang, Bihuan Chen, Lei Wei +1
In recent years, coverage-based greybox fuzzing has proven itself to be one of the most effective techniques for finding security bugs in practice. Particularly, American Fuzzy Lop…
cs.SE2019
LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment through Program Metrics
Xiaoning Du, Bihuan Chen, Yuekang Li +4
Identifying potentially vulnerable locations in a code base is critical as a pre-step for effective vulnerability assessment; i.e., it can greatly help security experts put their t…