Differential Privacy from a Statistical Perspective–Obtaining Valid Inferences...

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=HR5q7mzPTy4


Duration: 47:25
304 views
4

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



Other Videos By Simons Institute for the Theory of Computing


2019-03-08Towards Privacy-Respectful Cyber-Physical Systems: Two Perspectives
2019-03-08What We’re Doing in Australia – An API for Confidentialized Contingency Tables
2019-03-08Making Privacy Technology Accessible: Benchmarks and Platforms
2019-03-07PANEL: Where Are Statistical Agencies Going?
2019-03-07DARPA and Privacy Research
2019-03-07Some Applications of Contextual Integrity
2019-03-07Matching Uses and Data Protections for Government Data
2019-03-07Statistical Disclosure Limitation: Where do we go from here?
2019-03-07Deploying DP: Experiences from the Front Lines and Open Challenges
2019-03-07pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity
2019-03-07Differential Privacy from a Statistical Perspective–Obtaining Valid Inferences...
2019-03-06Accuracy Disparities and Social Choices in the Design of Privacy Mechanisms
2019-03-06What All We've Been Up To at Knexus Research
2019-03-06Predicate Singling Out: Towards Formalizing the GDPR Notion of Singling Out
2019-03-06Practical Experience with Making Synthetic Data Differentially Private
2019-03-06Challenges in Scaling Privacy Enhancing Technologies to Campus Level IoT Testbed
2019-03-06From Health Data to Location Traces: Addressing Spatiotemporal Correlations in Differential Privacy
2019-03-06A Practical Method to Reduce Privacy Loss when Disclosing Statistics Based on Small Samples
2019-03-05Automated Verification meets Differential Privacy
2019-03-05Proving Differential Privacy via Relational Types
2019-03-05Formal Modelling of Information-flow Control Systems: Some Lessons Learned


Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computing
Data Privacy: From Foundations to Applications
Jörg Drechsler