Professor Ruigang Liang received his Ph.D. degree in the University of Chinese Academy of Sciences in 2021; then he joined the Chinese Academy of Sciences in July 2021. He became the Associate Professor in October 2023. His research interests include software security, mobile security, and AI security.
Research Areas
Software security, Mobile security, and AI security
Publications
[S&P] Yanzhong Wang, Ruigang Liang, Yilin Li, Peiwei Hu, Kai Chen, Bolun Zhang, "TypeForge: Synthesizing and Selecting Best-Fit Composite Data Types for Stripped Binaries", S&P 2025.
[ISSTA] Zhiyu Zhang, Longxing Li, Ruigang Liang, Kai Chen, "Unlocking Low Frequency Syscalls in Kernel Fuzzing with Dependency-based RAG", ISSTA 2025.
[ISSTA] Ying Cao, Runze Zhang, Ruigang Liang, Kai Chen, "Evaluating the Effectiveness of Decompilers", ISSTA 2024.
[S&P] Peizhuo Lv, Hualong Ma, Kai Chen, Jiachen Zhou, Shengzhi Zhang, Ruigang Liang, Shenchen Zhu, Pan Li, Yingjun Zhang, "MEA-Defender: A Robust Watermark against Model Extraction Attack", S&P 2024.
[NDSS] Peiwei Hu, Ruigang Liang, Kai Chen, "DeGPT: Optimizing Decompiler Output with LLM", NDSS 2024.
[NDSS] Peizhuo Lv, Pan Li, Shenchen Zhu, Shengzhi Zhang, Kai Chen, Ruigang Liang, Chang Yue, Fang Xiang, Yuling Cai, Hualong Ma, Yingjun Zhang, Guozhu Meng, "SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-Supervised Learning", NDSS 2024.
[ICSME] Runze Zhang, Ying Cao, Ruigang Liang, Peiwei Hu, Kai Chen, "Optimizing Decompiler Output by Eliminating Redundant Data Flow in Self-Recursive Inlining", ICSME 2024.
[INCSRYPT] Ruigang Liang, Ying Cao, Peiwei Hu, Kai Chen, "Attention-based Decompilation through Neural Machine Translation", Inscrypt 2024.
[USENIX Security] Peiwei Hu, Ruigang Liang, Ying Cao, Kai Chen, Runze Zhang, "AURC: Detecting Errors in Program Code and Documentation", USENIX Security 2023.
[USENIX Security] Peizhuo Lv, Chang Yue, Ruigang Liang, Yunfei Yang, Shengzhi Zhang, Hualong Ma, Kai Chen, "A Data-free Backdoor Injection Approach in Neural Networks", USENIX Security 2023.
[TDSC] Peizhuo Lv, Pan Li, Shengzhi Zhang, Kai Chen, Ruigang Liang, Hualong Ma, Yue Zhao, and Yingjiu Li, "A Robustness-Assured White-Box Watermark in Neural Networks", TDSC 2023.
[ECAI] Chang Yue, Peizhuo Lv, Ruigang Liang, Kai Chen, "Invisible backdoor attacks using data poisoning in the frequency domain", ECAI 2023.
[ICME] Peizhuo Lv, Hualong Ma, Jiachen Zhou, Ruigang Liang, Kai Chen, Shengzhi Zhang, Yunfei Yang, "DBIA: Data-free Backdoor Injection Attack against Transformer Networks", ICME 2023.
[Cybersecurity] Zhixiu Guo, Ruigang Liang, Guozhu Meng, Kai Chen, "SkillSim: voice apps similarity detection", Cybersecurity 2023.
[ACSAC] Ying Cao, Ruigang Liang (co-first author), Kai Chen, Peiwei Hu, "Boosting Neural Networks to Decompile Optimized Binaries", ACSAC 2022.
[Cybersecurity] Ruigang Liang, Ying Cao, Peiwei Hu, Kai Chen, "Neutron: an attention-based neural decompiler", Cybersecurity 2021.
[Cybersecurity] Yuhang Zhao, Ruigang Liang, Xiang Chen, Jing Zou, "Evaluation indicators for open-source software: a review", Cybersecurity 2021.
[USENIX Security] Peiyuan Zong, Tao Lv, Dawei Wang, Zizhuang Deng, Ruigang Liang, Kai Chen, "FuzzGuard: Filtering out Unreachable Inputs in Directed Grey-box Fuzzing through Deep Learning", USENIX Security 2020.
[JSC] 梁瑞刚, 吕培卓, 赵月, 陈鹏, 邢豪, 张颖君, 韩冀中, 赫然, 赵险峰, 李明, 陈恺, "视听觉深度伪造检测技术研究综述", 信息安全学报 2020.
[CCS] Yue Zhao, Hong Zhu, Ruigang Liang, Qintao Shen, Shengzhi Zhang, Kai Chen, "Seeing isn’t Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors", CCS 2019.
[Industrial IoT] Aohui Wang, Ruigang Liang, Xiaokang Liu, Yingjun Zhang, Kai Chen, Jin Li, "An inside look at IoT malware", Industrial IoT 2017.