Playlist: 34 videos

Privacy and the Science of Data Analysis

0:50:21

Privacy Amplification by Sampling and Renyi Differential Privacy

Yu-Xiang Wang (UC Santa Barbara)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/tbd-43
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1:19:28

Private Meta-Selection

Kunal Talwar (Google)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/private-selection-private-candidates
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0:35:45

Learning without Interaction Requires Separation

Vitaly Feldman (Google)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/tbd-44
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0:51:24

Private Boosting and Noise-tolerant Learning

Mark Bun (Princeton University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/private-boosting-and-noise-tolerant-learning
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0:46:19

Private Center Points and Learning of Halfspaces

Amos Beimel (Ben Gurion University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/private-center-points-and-learning-halfspaces
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0:43:45

Federated Heavy Hitters Discovery with Differential Privacy

Peter Kairouz (Google AI)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/federated-heavy-hitters-discovery-differential-privacy
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0:53:15

Private Learning with Auxiliary Public Data

Raef Bassily (The Ohio State University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/tbd-42
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0:42:57

Is Interaction Necessary for Distributed Private Learning?

Abhradeep Thakurta (UC Santa Cruz)
https://simons.berkeley.edu/talks/interaction-necessary-distributed-private-learning
Privacy and the Science of Data Analysis
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0:52:49

Groups and Individuals in Fairness and Probability

Cynthia Dwork (Harvard University)
https://simons.berkeley.edu/talks/tbd-45
Privacy and the Science of Data Analysis
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0:39:21

Towards a Characterization of Differentially Private Learning

Shay Moran (Princeton University)
https://simons.berkeley.edu/talks/learning-classes-and-dp
Privacy and the Science of Data Analysis
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