Invited Talks

  • Do Membership Inference Attacks Work on Large Language Models? Privacy Team, CAS, Meta (Remote). 12 April, 2024.
  • Distribution Inference: New Perspectives in Data Privacy. Vector Institute (Virtual). 12 April, 2024.
  • Do Membership Inference Attacks Work on Large Language Models? SAFR AI Lab, Harvard University (Virtual). 5 April, 2024.
  • Do Membership Inference Attacks Work on Large Language Models? University of Washington (Seattle). 25 March, 2024.
  • Do Membership Inference Attacks Work on Large Language Models? Google Research (Seattle). 21 March, 2024.
  • Do Membership Inference Attacks Work on Large Language Models? Cohere for AI. 2 March, 2024.
  • Distribution Inference: New Perspectives in Data Privacy. UVA AIML Seminar. 28 February 2024.
  • Distribution Inference: New Perspectives in Data Privacy. Princeton. 19 January 2024.
  • Distribution Inference: New Perspectives in Data Privacy. CS562 Advanced Topics in Security, Privacy, and Machine Learning, UIUC (Virtual). 17 January 2024.
  • Advice from Senior Students. UVA CSGSG Research Symposium. 3 October 2023.
  • Distribution Inference. University of Melbourne (Virtual). 14 September 2022.
  • Formalizing and Estimating Distribution Inference Risks: IIITH (Virtual). 29 September 2022.
  • Privacy in Genomics. CS4501: Computational Biology / Biological Computing (Guest Lecture). 28 March, 2022.
  • Formalizing Distribution Inference Risks: Lockheed Martin (Virtual). 15 February 2022.
  • When Models Learn Too Much: Inference Privacy in Theory and Practice (with David Evans). Microsoft Security Data Science Colloquium (Virtual). 1 December, 2020.
  • Project Personality Chat. Intelligent Cloud Conference (Copenhagen). April 10 2019.