Playlist: 34 videos

Privacy and the Science of Data Analysis

0:53:51

Node Privacy, High-dimensional Graph Summaries, and Block Models

Adam Smith (Boston University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/node-privacy-high-dimensional-graph-summaries-and-block-models
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0:53:8

Optimality in Locally Private Estimation and Learning

John Duchi (Stanford University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/tbd-39
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1:0:2

PANEL: Statistical Theory, Privacy and Data Analysis

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Talks Spring 2019

PANEL: Statistical Theory, Privacy and Data Analysis
Tuesday, April 9th, 2019 4:15 pm – 5:30 pm
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Event: Privacy and the Science of Data Analysis
Speaker:
Moderator: Aleksandra Slavkovic (Pennsylvania State University) ||| Panelists: Anand Sarwate (Rutgers University), Thomas Steinke (IBM Almaden), Bin Yu (UC Berkeley), John Duchi (Stanford University), and Yu-Xiang Wang (UC Santa Barbara)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/panel-statistical-theory-privacy-and-data-analysis
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0:46:38

Differentially Private Change-Point Detection

Rachel Cummings (Georgia Institute of Technology)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/tbd-41
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0:44:17

Bandit Learning under Differential Privacy

Or Sheffet (University of Alberta)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/bandit-learning-under-dp
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0:39:22

Pufferfish Privacy Mechanisms for Correlated Data

Shuang Song (Google)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/pufferfish-privacy-mechanisms-correlated-data
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0:47:25

Black-box Random Differential Privacy with Sensitivity Sampling

Ben Rubinstein (Melbourne University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/tbd-40
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0:42:28

The Privacy Blanket of the Shuffle Model

Borja Balle (Amazon)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/privacy-amplification
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1:18:46

Open Problem Session

Open Problem Session
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/open-problem-session-0
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0:44:19

Locally Private Statistical Inference: Communication, Samples, and Shared Randomness

Jayadev Acharya (Cornell University)
Privacy and the Science of Data Analysis
https://simons.berkeley.edu/talks/locally-private-statistical-inference-communication-samples-and-shared-randomness
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