ICLR DPML 2021: Inference Risks for Machine Learning

adversarial machine learning, privacy, Bargav Jayaraman, Anshuman Suri, Katherine Knipmeyer, inference privacy, privacy, privacy-preserving machine learning

I gave an invited talk at the Distributed and Private Machine Learning (DPML) workshop at ICLR 2021 on Inference Risks for Machine Learning.

The talk mostly covers work by Bargav Jayaraman on evaluating privacy in machine learning and connecting attribute inference and imputation, and recent work by Anshuman Suri on property inference.