Playlist: 25 videos Workshops

Big Data and Differential Privacy

Dec. 11 – Dec. 14, 2013

Analysis of large datasets of potentially sensitive private information about individuals raises natural privacy concerns. Differential Privacy is a recent area of research that brings mathematical rigor to the problem of...

0:28:9

The Power of Linear Reconstruction Attacks

Shiva Kasiviswanathan, GE Global Research
Big Data and Differential Privacy
http://simons.berkeley.edu/talks/shiva-kasiviswanathan-2013-12-13
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1:19:30

DP for Graphs and Social Networks

Sofya Raskhodnikova, Pennsylvania State University
Big Data and Differential Privacy
http://simons.berkeley.edu/talks/sofya-raskhodnikova-2013-12-14
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1:8:21

Geometry of DP

Li Zhang, Microsoft Research
Big Data and Differential Privacy
http://simons.berkeley.edu/talks/li-zhang-2013-12-14
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0:32:19

From Matrix Completion to Private Singular Vector Computation and Back

Moritz Hardt, IBM Almaden
Big Data and Differential Privacy
http://simons.berkeley.edu/talks/moritz-hardt-2013-12-14
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0:30:12

Randomized Response for Private Principal Component Analysis

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