Binhao Ma

I am Binhao Ma, currently a Ph.D. student in Computer Science at the University of Missouri–Kansas City, advised by Prof. Rui Duan.

My research focuses on AI security, particularly data protection, content provenance, and the detection of AI-generated or manipulated content.

News

  • Our work ScrambleMark: Zero-Query Watermark-Agnostic Black-Box Evasion of Modern Speech Watermarking has been accepted to IEEE S&P 2027! Many thanks to my advisor and collaborators for their support! The demo and code can be found on the project website.
  • Our paper DFB: A Data-Free, Low-Budget, and High-Efficacy Clean-Label Backdoor Attack has been accepted by Applied Intelligence!
  • Our paper on audio jailbreak attacks has been accepted to the DSN–DSML 2025 workshop.

Selected Publications

Full list on Scholar

Honors and Awards

  • Notable Reviewer, ICLR 2025.
  • Outstanding Master's Thesis Award, Hubei Cyberspace Security Society, 2024.
  • National Scholarship, China, 2023.
  • Outstanding Graduate Student Award, Wuhan Computer Software Engineering Society, 2023.

Academic Service

Conference Reviewing & Program Committees

  • International Conference on Learning Representations (ICLR), 2025–2027
  • Conference on Neural Information Processing Systems (NeurIPS), 2024–2025
  • International Conference on Machine Learning (ICML), 2025
  • AAAI Conference on Artificial Intelligence (AAAI), 2026–2027
  • International Conference on Artificial Intelligence and Statistics (AISTATS), 2025–2027
  • Northern Lights Deep Learning Conference (NLDL), 2026–2027

Journal Reviewing

  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024–2026
  • Cluster Computing, 2026
  • Machine Learning, 2026
  • Scientific Reports, 2026
  • Journal of King Saud University Computer and Information Sciences, 2026

Artifact Evaluation

  • USENIX Security 2026, Cycle 1 Artifact Evaluation Committee