Fuzzing: a survey. - Jun Li 001; Bodong Zhao; Chao Zhang 008 (Cybersecur., 2018)

GREYONE: Data Flow Sensitive Fuzzing. - Shuitao Gan; Chao Zhang 008; Peng Chen 034; Bodong Zhao; Xiaojun Qin; Dong Wu; Zuoning Chen (USENIX Security Symposium, 2020)

RAProducer: efficiently diagnose and reproduce data race bugs for binaries via trace analysis. - Ming Yuan 003; Yeseop Lee; Chao Zhang 008; Yun Li 010; Yan Cai 001; Bodong Zhao (ISSTA, 2021)

PrIntFuzz: fuzzing Linux drivers via automated virtual device simulation. - Zheyu Ma; Bodong Zhao; Letu Ren; Zheming Li; Siqi Ma; Xiapu Luo; Chao Zhang 008 (ISSTA, 2022)

StateFuzz: System Call-Based State-Aware Linux Driver Fuzzing. - Bodong Zhao; Zheming Li; Shisong Qin; Zheyu Ma; Ming Yuan 003; Wenyu Zhu; Zhihong Tian; Chao Zhang 008 (USENIX Security Symposium, 2022)

DDRace: Finding Concurrency UAF Vulnerabilities in Linux Drivers with Directed Fuzzing. - Ming Yuan 003; Bodong Zhao; Penghui Li 001; Jiashuo Liang; Xinhui Han; Xiapu Luo; Chao Zhang 008 (USENIX Security Symposium, 2023)

NSFuzz: Towards Efficient and State-Aware Network Service Fuzzing - RCR Report. - Fan Hu; Shisong Qin; Zheyu Ma; Bodong Zhao; Tingting Yin; Chao Zhang 008 (ACM Trans. Softw. Eng. Methodol., 2023)

NSFuzz: Towards Efficient and State-Aware Network Service Fuzzing. - Shisong Qin; Fan Hu; Zheyu Ma; Bodong Zhao; Tingting Yin; Chao Zhang 008 (ACM Trans. Softw. Eng. Methodol., 2023)