Ruigang Liang

According to our database, Ruigang Liang authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MEA-Defender: A Robust Watermark against Model Extraction Attack.

Peizhuo Lv, Hualong Ma, Kai Chen, Jiachen Zhou, Shengzhi Zhang, Ruigang Liang, Shenchen Zhu, Pan Li, Yingjun Zhang

Proceedings of the IEEE Symposium on Security and Privacy, 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, Ruigang Liang, Chang Yue, Fan Xiang, Yuling Cai, Hualong Ma, Yingjun Zhang, Guozhu Meng

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

DeGPT: Optimizing Decompiler Output with LLM.

Peiwei Hu, Ruigang Liang, Kai Chen

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Evaluating the Effectiveness of Decompilers.

Ying Cao, Runze Zhang, Ruigang Liang, Kai Chen

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Optimizing Decompiler Output by Eliminating Redundant Data Flow in Self-Recursive Inlining.

Runze Zhang, Ying Cao, Ruigang Liang, Peiwei Hu, Kai Chen

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

2023

SkillSim: voice apps similarity detection.

Zhixiu Guo, Ruigang Liang, Guozhu Meng, Kai Chen

Cybersecur., December, 2023

A Robustness-Assured White-Box Watermark in Neural Networks.

Peizhuo Lv, Pan Li, Shengzhi Zhang, Kai Chen, Ruigang Liang, Hualong Ma, Yue Zhao, Yingjiu Li

IEEE Trans. Dependable Secur. Comput., 2023

A Data-free Backdoor Injection Approach in Neural Networks.

Peizhuo Lv, Chang Yue, Ruigang Liang, Yunfei Yang, Shengzhi Zhang, Hualong Ma, Kai Chen

Proceedings of the 32nd USENIX Security Symposium, 2023

AURC: Detecting Errors in Program Code and Documentation.

Peiwei Hu, Ruigang Liang, Ying Cao, Kai Chen, Runze Zhang

Proceedings of the 32nd USENIX Security Symposium, 2023

Using ensemble models to detect deepfake images of human faces.

Weiqiang Jiang, Zhongyuan Guo, Ruigang Liang

Proceedings of the 2023 International Conference on Mathematics, 2023

DBIA: Data-Free Backdoor Attack Against Transformer Networks.

Peizhuo Lv, Hualong Ma, Jiachen Zhou, Ruigang Liang, Kai Chen, Shengzhi Zhang, Yunfei Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Invisible Backdoor Attacks Using Data Poisoning in Frequency Domain.

Chang Yue, Peizhuo Lv, Ruigang Liang, Kai Chen

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

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

CoRR, 2022

Boosting Neural Networks to Decompile Optimized Binaries.

Ying Cao, Ruigang Liang, Kai Chen, Peiwei Hu

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

Evaluation indicators for open-source software: a review.

Yuhang Zhao, Ruigang Liang, Xiang Chen, Jing Zou

Cybersecur., 2021

Neutron: an attention-based neural decompiler.

Ruigang Liang, Ying Cao, Peiwei Hu, Kai Chen

Cybersecur., 2021

Semantics-Recovering Decompilation through Neural Machine Translation.

Ruigang Liang, Ying Cao, Peiwei Hu, Jinwen He, Kai Chen

CoRR, 2021

DBIA: Data-free Backdoor Injection Attack against Transformer Networks.

Peizhuo Lv, Hualong Ma, Jiachen Zhou, Ruigang Liang, Kai Chen, Shengzhi Zhang, Yunfei Yang

CoRR, 2021

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, Ruigang Liang, Yue Zhao, Yingjiu Li

CoRR, 2021

2020

FuzzGuard: Filtering out Unreachable Inputs in Directed Grey-box Fuzzing through Deep Learning.

Peiyuan Zong, Tao Lv, Dawei Wang, Zizhuang Deng, Ruigang Liang, Kai Chen

Proceedings of the 29th USENIX Security Symposium, 2020

2019

Seeing isn't Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors.

Yue Zhao, Hong Zhu, Ruigang Liang, Qintao Shen, Shengzhi Zhang, Kai Chen

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Practical Adversarial Attack Against Object Detector.

Yue Zhao, Hong Zhu, Qintao Shen, Ruigang Liang, Kai Chen, Shengzhi Zhang

CoRR, 2018