Liu, Yang

Machine Learning Testing: Survey, Landscapes and Horizons

Zhang, J. M., Harman, M., Ma, L., & Liu, Y. (2022) · IEEE Transactions on Software Engineering

Software Testing and Debugging TechniquesAdversarial Robustness in Machine Learning

Cited by 897

MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots

Deng, G., Liu, Y., Li, Y., Wang, K., Zhang, Y., Li, Z., Wang, H., Zhang, T., & Liu, Y. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 418

DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

Qi, H., Guo, Q., Juefei-Xu, F., Xie, X., Ma, L., Feng, W., Liu, Y., & Zhao, J. (2020) · arXiv

Digital Media Forensic DetectionFace recognition and analysis

Cited by 280

DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

Qi, H., Guo, Q., Juefei-Xu, F., Xie, X., Ma, L., Feng, W., Liu, Y., & Zhao, J. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Digital Media Forensic DetectionFace recognition and analysis

Cited by 220

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Juefei-Xu, F., Wang, R., Huang, Y., Guo, Q., Ma, L., & Liu, Y. (2022) · International Journal of Computer Vision

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 191

Large Language Models for Cyber Security: A Systematic Literature Review

Xu, H., Wang, S., Li, N., Wang, K., Zhao, Y., Chen, K., Yu, T., Liu, Y., & Wang, H. (2025) · ACM Transactions on Software Engineering and Methodology

Adversarial Robustness in Machine LearningNetwork Security and Intrusion Detection

Cited by 189

From UI design image to GUI skeleton: a neural machine translator to bootstrap mobile GUI implementation

Chen, C., Su, T., Meng, G., Xing, Z., & Liu, Y. (2018) · Proceedings of the 40th International Conference on Software Engineering

Usability and User Interface DesignSoftware Engineering Research

Cited by 188

DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices

Wang, R., Juefei-Xu, F., Huang, Y., Guo, Q., Xie, X., Ma, L., & Liu, Y. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 131

FakeLocator: Robust Localization of GAN-Based Face Manipulations

Huang, Y., Juefei-Xu, F., Guo, Q., Liu, Y., & Pu, G. (2022) · IEEE Transactions on Information Forensics and Security

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 102

Prompt Injection attack against LLM-integrated Applications

Liu, Y., Deng, G., Li, Y., Wang, K., Wang, Z., Wang, X., Zhang, T., Liu, Y., Wang, H., Zheng, Y., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningWeb Application Security Vulnerabilities

Cited by 100

ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking

Liu, S., Gao, C., Chen, S., Nie, L. Y., & Liu, Y. (2022) · IEEE Transactions on Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 93

FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction

Huang, Y., Juefei-Xu, F., Wang, R., Guo, Q., Ma, L., Xie, X., Li, J., Miao, W., Liu, Y., & Pu, G. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 71

CORE: Automating Review Recommendation for Code Changes

Siow, J. K., Gao, C., Fan, L., Chen, S., & Liu, Y. (2020) · 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 56

Detecting differences across multiple instances of code clones

Lin, Y., Xing, Z., Xue, Y., Liu, Y., Peng, X., Sun, J., & Zhao, W. (2014) · Proceedings of the 36th International Conference on Software Engineering

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 41

Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation

Wang, C., Zhang, J., Feng, Y., Li, T., Sun, W., Liu, Y., & Peng, X. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchTopic Modeling

Cited by 40

Text Backdoor Detection Using an Interpretable RNN Abstract Model

Fan, M., Si, Z., Xie, X., Liu, Y., & Liu, T. (2021) · IEEE Transactions on Information Forensics and Security

Adversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)

Cited by 38

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool

Deng, G., Liu, Y., Mayoral-Vilches, V., Liu, P., Li, Y., Xu, Y., Zhang, T., Liu, Y., Pinzger, M., & Rass, S. (2023) · arXiv

Web Application Security VulnerabilitiesAdversarial Robustness in Machine Learning

Cited by 37

Advanced Smart Contract Vulnerability Detection via LLM-Powered Multi-Agent Systems

Wei, Z., Sun, J., Sun, Y., Liu, Y., Wu, D., Zhang, Z., Zhang, X., Li, M., Liu, Y., Li, C., et al. (2025) · IEEE Transactions on Software Engineering

Blockchain Technology Applications and SecuritySoftware Testing and Debugging Techniques

Cited by 31

Split and Merge: Aligning Position Biases in LLM-based Evaluators

Li, Z., Wang, C., Ma, P., Wu, D., Wang, S., Gao, C., & Liu, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26

Enhancing repository-level software repair via repository-aware knowledge graphs

Yang, B., Ren, J., Jin, S., Liu, Y., Liu, F., Le, B., & Tian, H. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 18

Slot : Provenance-Driven APT Detection through Graph Reinforcement Learning

Qiao, W., Feng, Y., Li, T., Ma, Z., Shen, Y., Ma, J., & Liu, Y. (2025) · Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 16

Security of Language Models for Code: A Systematic Literature Review

Chen, Y., Sun, W., Fang, C., Chen, Z., Ge, Y., Han, T., Zhang, Q., Liu, Y., Chen, Z., & Xu, B. (2026) · ACM Transactions on Software Engineering and Methodology

Adversarial Robustness in Machine LearningSoftware Engineering Research

Cited by 10

Masked Faces with Faced Masks

Zhu, J., Guo, Q., Juefei-Xu, F., Huang, Y., Liu, Y., & Pu, G. (2022) · arXiv

Face recognition and analysisAdversarial Robustness in Machine Learning

Cited by 3

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One

Li, T., Zhang, X., Du, C., Pang, T., Liu, Q., Guo, Q., Shen, C., & Liu, Y. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 3