News & Announcements

• NeurIPS 2023 paper
  (2023-11) — We have a new paper on training ML models with differential privacy using data augmentations such as mixup. This work will appear at NeurIPS 2023!

• New pre-print
  (2023-10) — We wrote an SoK on Memorization in Large Language Models (LLMs)!

Assistant Professor at the University of Florida

Selected (Recent) Publications

• DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning [PDF]
  In Neural Information Processing Systems (2023)
  Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B G, Vincent Bindschaedler
• SoK: Memorization in General-Purpose Large Language Models [PDF]
  In arXiv preprint (2023)
  Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler, David Evans, Shruti Tople, Robert West
• EMI-LiDAR: Uncovering Vulnerabilities of LiDAR Sensors in Autonomous Driving Setting using Electromagnetic Interference [PDF (External Link)]
  In ACM Conference on Security and Privacy in Wireless and Mobile Networks (2023)
  Sri Hrushikesh Varma Bhupathiraju, Jennifer Sheldon, Luke A. Bauer, Vincent Bindschaedler, Takeshi Sugawara, Sara Rampazzi
• 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

Tweets by @vbindsch

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Research Interests

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