Wenxuan Bao

About Me

Hello, my name is Wenxuan Bao (包文轩). I am a fourth-year PhD candidate in the CISE Department at University of Florida I am in the Florida Institute for Cybersecurity Research (FICS) and my advisor is Dr. Vincent Bindschaedler.

Research Interests

Privacy-Preserving Machine Learning, Differential Privacy, Responsible AI, and LLM security

News

• [2025.10] I have been named as Top Reviewer for NeurIPS 2025!
• [2025.09] Our work “Privacy-Preserving Machine Learning with Plausible Deniability” is accepted in NeurIPS 2025!
• [2025.09] Our work “Enabling Plausible Deniability in Flash-based Storage through Data Permutation” is accepted in ACSAC 2025!

Publications

• Privacy-Preserving Machine Learning with Plausible Deniability.

  Wenxuan Bao, Shan Jin, Hadi Abdullah, Anderson C. A. Nascimento, Vincent Bindschaedler and Yiwei Cai

  NeurIPS, 2025.

• Enabling Plausible Deniability in Flash-based Storage through Data Permutation.

  Weidong Zhu, Wenxuan Bao, Vincent Bindschaedler, Sara Rampazzi and Kevin R. B. Butler

  ACSAC, 2025.

• Provably Secure Covert Messaging Using Image-based Diffusion Processes

  Luke A. Bauer, Wenxuan Bao, and Vincent Bindschaedler

  SaTML, 2025.

• Inference Attacks for X-Vector Speaker Anonymization

  Luke A. Bauer, Wenxuan Bao, Malvika Ranjitsinh Jadhav and Vincent Bindschaedler

  IEEE S&P Workshops, 2025.

• R+R: Towards Reliable and Generalizable Differentially Private Machine Learning.

  Wenxuan Bao and Vincent Bindschaedler

  ACSAC, 2024.

• DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning.

  Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B G, and Vincent Bindschaedler

  NeurIPS, 2023.

• On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning.

  Wenxuan Bao, Luke A. Bauer, and Vincent Bindschaedler

  arXiv, 2022.