Playlist: 34 videos

Data Privacy: From Foundations to Applications

0:45:15

Automated Verification meets Differential Privacy

Aws Albarghouthi (University of Wisconsin, Madison)
https://simons.berkeley.edu/talks/tba-43
Data Privacy: From Foundations to Applications
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0:44:58

A Practical Method to Reduce Privacy Loss when Disclosing Statistics Based on Small Samples

John Friedman (Brown University)
https://simons.berkeley.edu/talks/tba-44
Data Privacy: From Foundations to Applications
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0:45:55

From Health Data to Location Traces: Addressing Spatiotemporal Correlations in Differential Privacy

Li Xiong (Emory University)
https://simons.berkeley.edu/talks/tba-45
Data Privacy: From Foundations to Applications
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0:44:31

Challenges in Scaling Privacy Enhancing Technologies to Campus Level IoT Testbed

Sharad Mehrotra (UC Irvine)
https://simons.berkeley.edu/talks/tba-46
Data Privacy: From Foundations to Applications
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0:44:44

Practical Experience with Making Synthetic Data Differentially Private

Gillian Raab (University of Edinburgh & Administrative Data Research Centre Scotland)
https://simons.berkeley.edu/talks/tba-47
Data Privacy: From Foundations to Applications
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0:45:21

Predicate Singling Out: Towards Formalizing the GDPR Notion of Singling Out

Aloni Cohen (Massachusetts Institute of Technology)
https://simons.berkeley.edu/talks/tba-62
Data Privacy: From Foundations to Applications
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0:39:13

What All We've Been Up To at Knexus Research

Christine Task (Knexus Research Corp)
https://simons.berkeley.edu/talks/tba-49
Data Privacy: From Foundations to Applications
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0:43:43

Accuracy Disparities and Social Choices in the Design of Privacy Mechanisms

Gerome Miklau (University of Massachusetts Amherst)
https://simons.berkeley.edu/talks/tba-59
Data Privacy: From Foundations to Applications
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0:47:25

Differential Privacy from a Statistical Perspective – Obtaining Valid Inferences from Differentially Private Microdata

Jörg Drechsler (Institute for Employment Research)
https://simons.berkeley.edu/talks/tba-52
Data Privacy: From Foundations to Applications
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0:40:39

pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity

Joshua Snoke (RAND Corporation)
https://simons.berkeley.edu/talks/tba-51
Data Privacy: From Foundations to Applications
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