News & Announcements

• New Paper
  (2022-05) — Check out our new paper on improving privacy account for differential privacy! This work was just accepted at PETS 2022.

• Recent Publications
  (2022-01) — Check out our ACML'21 paper and ICLR'22 paper on Speech Recognition Systems and Adversarial Machine Learning!

Assistant Professor at the University of Florida

Selected (Recent) Publications

• Enhanced Membership Inference Attacks against Machine Learning Models [PDF]
  In ACM SIGSAC Conference on Computer and Communications Security (2022)
  Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri
• Analyzing the Monetization Ecosystem of Stalkerware [PDF]
  In Privacy Enhancing Technologies Symposium (2022)
  Cassidy Gibson, Vanessa Frost, Katie Platt, Washington Garcia, Luis Vargas, Sara Rampazzi, Vincent Bindschaedler, Patrick Traynor, Kevin Butler
• Privacy accounting εconomics: Improving differential privacy composition via a posteriori bounds [PDF]
  In Privacy Enhancing Technologies Symposium (2022)
  Valentin Hartmann, Vincent Bindschaedler, Alexander Bentkamp, Robert West
• Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems [PDF]
  In International Conference on Learning Representations (2022)
  Hadi Abdullah, Aditya Karlekar, Vincent Bindschaedler, Patrick Traynor
• Towards Realistic Membership Inferences: The Case of Survey Data [PDF]
  In Annual Computer Security Applications Conference (2020)
  Luke A. Bauer, Vincent Bindschaedler
• SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems [PDF]
  In IEEE Symposium on Security and Privacy (2021)
  Hadi Abdullah, Kevin Warren, Vincent Bindschaedler, Nicolas Papernot, Patrick Traynor
• A Pragmatic Approach to Membership Inferences on Machine Learning Models [PDF]
  In IEEE European Symposium on Security and Privacy (2020)
  Yunhui Long, Lei Wang, Diyue Bu, Vincent Bindschaedler, XiaoFeng Wang, Haixu Tang, Carl A. Gunter, Kai Chen

Tweets by @vbindsch

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Research Interests

• Data Privacy
• Machine Learning + Security and Privacy
• Applied Cryptography
• Differential Privacy
• Side-Channel Threats