Here are some selected videos of talks about our research.
Inference Risks for Machine Learning
Invited talk at the Distributed and Private Machine Learning (DPML) workshop at ICLR 2021, 7 May 2021. [Video]
When Models Learn Too Much
CrySP Speaker Series on Privacy, University of Waterloo, 29 March 2021. [Abstract] [Video]
Hybrid Batch Attacks
Suya’s presentation on Hybrid Batch Attacks at USENIX Security 2020:
(Download Video [mp4], Blog Post, Paper: [PDF] [arXiv])
Empirically Measuring Concentration
Xiao Zhang’s presentation at NeurIPS 2019:
https://slideslive.com/38921718/track-2-session-1 (starting at 26:50)
Evaluating Differentially Private Machine Learning in Practice
Bargav Jayaraman’s talk at USENIX Security 2019:
Can Machine Learing Ever By Trustworthy?
University of Maryland, Booz Allen Hamilton Distinguished Colloquium at the University of Maryland, 7 December 2018.
Video: Can Machine Learning Ever Be Trustworthy? [SpeakerDeck]
Is “adversarial examples” an Adversarial Example?
Keynote talk at 1st Deep Learning and Security Workshop (Co-located with the 39th IEEE Symposium on Security and Privacy). San Francisco, California. 24 May 2018 (includes an intro on GDPR going into effect!). [SpeakerDeck]
Enigma: Classifiers Under Attack
Talk at USENIX Enigma 2017, Oakland, CA, 1 February 2017. [Speaker Deck] [Blog Post]