Ma, Lei

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

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

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

PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement

Wang, Z., Huang, Y., Song, D., Ma, L., & Zhang, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Generative Adversarial Networks and Image SynthesisDigital Media and Visual Art

Cited by 115

Evading DeepFake Detectors via Adversarial Statistical Consistency

Hou, Y., Guo, Q., Huang, Y., Xie, X., Ma, L., & Zhao, J. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 76

Knowledge Graphing Git Repositories: A Preliminary Study

Zhao, Y., Wang, H., Ma, L., Liu, Y., Li, L., & Grundy, J. (2019) · 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER)

Software Engineering ResearchData Visualization and Analytics

Cited by 14

VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation

Wang, Z., Zhou, Z., Song, J., Huang, Y., Shu, Z., & Ma, L. (2025) · Proceedings of the ACM on Software Engineering

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 14

AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling

Huang, Y., Song, J., Hu, Q., Juefei-Xu, F., & Ma, L. (2024) · arXiv

Software Testing and Debugging TechniquesTopic Modeling

Cited by 2