Randomized Response for Private Principal Component Analysis

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=DQPOWO9XTyc


Duration: 30:12
555 views
2

Kunal Talwar, Microsoft Research
Big Data and Differential Privacy
http://simons.berkeley.edu/talks/kunal-talwar-2013-12-14



Other Videos By Simons Institute for the Theory of Computing


2014-01-24Mini Crash Course: The Classical PCP Theorem
2014-01-24Quantum Information Measures and Black Holes
2014-01-24Application of Quantum Information Theory in QHC
2014-01-24The Complexity of Ground States
2014-01-24Many-body Physics and Complexity I
2014-01-24Mini Crash Course: Quantum Games and Semi-Definite Programming
2014-01-24Untrusted Quantum Devices
2014-01-24Delegated Quantum Computation
2014-01-24Introduction to Quantum Hamiltonian Complexity
2013-12-19DP for Graphs and Social Networks
2013-12-17Randomized Response for Private Principal Component Analysis
2013-12-17From Matrix Completion to Private Singular Vector Computation and Back
2013-12-17Geometry of DP
2013-12-17The Power of Linear Reconstruction Attacks
2013-12-17Differentially Private Empirical Risk Minimization
2013-12-17Turning Privacy-Utility Trade-offs Using Policies and an Application to US Census
2013-12-17DP in the Streaming Model
2013-12-17Private Learning and Sanitization: Pure vs. Approximate Differential Privacy
2013-12-17Sparse PCA in High Dimensions
2013-12-17Local Privacy and Minimax Rates
2013-12-17Extremal Mechanisms for Differential Privacy


Tags:
Simons Institute
Big Data
UC Berkeley
computer science
theory of computing
Kunal Talwar