Interpreting Deep Learning-based Vulnerability Detector Predictions Based on Heuristic Searching. - Deqing Zou; Yawei Zhu; Shouhuai Xu; Zhen Li 027; Hai Jin 001; Hengkai Ye (ACM Trans. Softw. Eng. Methodol., 2021)

BET: black-box efficient testing for convolutional neural networks. - Jialai Wang; Han Qiu 001; Yi Rong; Hengkai Ye; Qi Li 002; Zongpeng Li; Chao Zhang 008 (ISSTA, 2022)

VIPER: Spotting Syscall-Guard Variables for Data-Only Attacks. - Hengkai Ye; Song Liu; Zhechang Zhang; Hong Hu 004 (USENIX Security Symposium, 2023)

Too Subtle to Notice: Investigating Executable Stack Issues in Linux Systems. - Hengkai Ye; Hong Hu 004 (NDSS, 2025)