MTMG: A Framework for Generating Adversarial Examples Targeting Multiple Learning-Based Malware Detection Systems. - Lichen Jia; Yang Yang; Jiansong Li; Hao Ding; Jiajun Li; Ting Yuan; Lei Liu; Zihan Jiang (PRICAI (1), 2022)

FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods. - Lichen Jia; Bowen Tang 001; Chenggang Wu 002; Zhe Wang 017; Zihan Jiang; Yuanming Lai; Yan Kang 002; Ning Liu; Jingfeng Zhang (CoRR, 2022)

SpecBox: A Label-Based Transparent Speculation Scheme Against Transient Execution Attacks. - Bowen Tang 001; Chenggang Wu 002; Zhe Wang 017; Lichen Jia; Pen-Chung Yew; Yueqiang Cheng; Yinqian Zhang; Chenxi Wang; Guoqing Harry Xu (IEEE Trans. Dependable Secur. Comput., 2023)

Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants. - Lichen Jia; Chenggang Wu 002; Bowen Tang 001; Peihua Zhang; Zihan Jiang; Yang Yang; Ning Liu; Jingfeng Zhang; Zhe Wang 017 (EMNLP (Findings), 2024)

CodeExtract: Enhancing Binary Code Similarity Detection with Code Extraction Techniques. - Lichen Jia; Chenggang Wu 002; Peihua Zhang; Zhe Wang 017 (LCTES, 2024)

Shining Light on the Inter-procedural Code Obfuscation: Keep Pace with Progress in Binary Diffing. - Peihua Zhang; Chenggang Wu 002; Hanzhi Hu; Lichen Jia; Mingfan Peng; Jiali Xu; Mengyao Xie; Yuanming Lai; Yan Kang 002; Zhe Wang 017 (ACM Trans. Archit. Code Optim., 2025)