Practical Adversarial Attack Against Object Detector. - Yue Zhao 018; Hong Zhu; Qintao Shen; Ruigang Liang; Kai Chen 012; Shengzhi Zhang (CoRR, 2018)

Seeing isn't Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors. - Yue Zhao 018; Hong Zhu; Ruigang Liang; Qintao Shen; Shengzhi Zhang; Kai Chen 012 (CCS, 2019)

FuzzGuard: Filtering out Unreachable Inputs in Directed Grey-box Fuzzing through Deep Learning. - Peiyuan Zong; Tao Lv; Dawei Wang 021; Zizhuang Deng; Ruigang Liang; Kai Chen 012 (USENIX Security Symposium, 2020)

HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks. - Peizhuo Lv; Pan Li; Shengzhi Zhang; Kai Chen 012; Ruigang Liang; Yue Zhao 018; Yingjiu Li (CoRR, 2021)

DBIA: Data-free Backdoor Injection Attack against Transformer Networks. - Peizhuo Lv; Hualong Ma; Jiachen Zhou 001; Ruigang Liang; Kai Chen 012; Shengzhi Zhang; Yunfei Yang 001 (CoRR, 2021)

Semantics-Recovering Decompilation through Neural Machine Translation. - Ruigang Liang; Ying Cao 006; Peiwei Hu; Jinwen He; Kai Chen 012 (CoRR, 2021)

Neutron: an attention-based neural decompiler. - Ruigang Liang; Ying Cao 006; Peiwei Hu; Kai Chen 012 (Cybersecur., 2021)

Evaluation indicators for open-source software: a review. - Yuhang Zhao; Ruigang Liang; Xiang Chen 005; Jing Zou (Cybersecur., 2021)

Boosting Neural Networks to Decompile Optimized Binaries. - Ying Cao 006; Ruigang Liang; Kai Chen 012; Peiwei Hu (ACSAC, 2022)

A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information. - Pan Li; Peizhuo Lv; Shenchen Zhu; Ruigang Liang; Kai Chen 012 (CoRR, 2022)

Invisible Backdoor Attacks Using Data Poisoning in Frequency Domain. - Chang Yue; Peizhuo Lv; Ruigang Liang; Kai Chen 012 (ECAI, 2023)

DBIA: Data-Free Backdoor Attack Against Transformer Networks. - Peizhuo Lv; Hualong Ma; Jiachen Zhou 001; Ruigang Liang; Kai Chen 012; Shengzhi Zhang; Yunfei Yang 001 (ICME, 2023)

Using ensemble models to detect deepfake images of human faces. - Weiqiang Jiang; Zhongyuan Guo; Ruigang Liang (MICML, 2023)

AURC: Detecting Errors in Program Code and Documentation. - Peiwei Hu; Ruigang Liang; Ying Cao 006; Kai Chen 012; Runze Zhang (USENIX Security Symposium, 2023)

A Data-free Backdoor Injection Approach in Neural Networks. - Peizhuo Lv; Chang Yue; Ruigang Liang; Yunfei Yang 001; Shengzhi Zhang; Hualong Ma; Kai Chen 012 (USENIX Security Symposium, 2023)

A Robustness-Assured White-Box Watermark in Neural Networks. - Peizhuo Lv; Pan Li; Shengzhi Zhang; Kai Chen 012; Ruigang Liang; Hualong Ma; Yue Zhao 018; Yingjiu Li (IEEE Trans. Dependable Secur. Comput., 2023)

SkillSim: voice apps similarity detection. - Zhixiu Guo; Ruigang Liang; Guozhu Meng; Kai Chen 012 (Cybersecur., 2023)

Attention-Based Decompilation Through Neural Machine Translation. - Ruigang Liang; Ying Cao 006; Peiwei Hu; Kai Chen 012 (Inscrypt (1), 2024)

Optimizing Decompiler Output by Eliminating Redundant Data Flow in Self-Recursive Inlining. - Runze Zhang; Ying Cao 006; Ruigang Liang; Peiwei Hu; Kai Chen 012 (ICSME, 2024)

Evaluating the Effectiveness of Decompilers. - Ying Cao 006; Runze Zhang; Ruigang Liang; Kai Chen 012 (ISSTA, 2024)

DeGPT: Optimizing Decompiler Output with LLM. - Peiwei Hu; Ruigang Liang; Kai Chen 012 (NDSS, 2024)

SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-Supervised Learning. - Peizhuo Lv; Pan Li; Shenchen Zhu; Shengzhi Zhang; Kai Chen 012; Ruigang Liang; Chang Yue; Fan Xiang; Yuling Cai; Hualong Ma; Yingjun Zhang; Guozhu Meng (NDSS, 2024)

MEA-Defender: A Robust Watermark against Model Extraction Attack. - Peizhuo Lv; Hualong Ma; Kai Chen 012; Jiachen Zhou 001; Shengzhi Zhang; Ruigang Liang; Shenchen Zhu; Pan Li; Yingjun Zhang (SP, 2024)

TypeForge: Synthesizing and Selecting Best-Fit Composite Data Types for Stripped Binaries. - Yanzhong Wang; Ruigang Liang; Yilin Li; Peiwei Hu; Kai Chen 012; Bolun Zhang (SP, 2025)

Unlocking Low Frequency Syscalls in Kernel Fuzzing with Dependency-Based RAG. - Zhiyu Zhang; Longxing Li; Ruigang Liang; Kai Chen 012 (Proc. ACM Softw. Eng., 2025)

LLM4TDG: test-driven generation of large language models based on enhanced constraint reasoning. - Jingqiang Liu; Ruigang Liang; Xiaoxi Zhu; Yue Zhang; Yuling Liu; Qixu Liu (Cybersecur., 2025)