Workshop on Big Data and Differential Privacy

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2019-03-23 22:07:33
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我是勤劳的搬运工 https://www.youtube.com/playlist?list=PLgKuh-lKre12rmTunAtU66mQULB25fqEg Workshop on Big Data and Differential Privacy Simons Institute 2015年3月9日
视频选集
(9/25)
01 - Selective Inference and False Discovery Rate I
58:56
02 - Selective Inference and False Discovery Rate II
01:13:00
03 - Musings on False Discovery Rate
21:29
04 - Tutorial on Differential Privacy
01:34:17
05 - DP-WHERE - Differentially Private Modeling of Human Mobility
25:18
06 - Real-time Aggregate Monitoring with Differential Privacy
24:14
07 - Dual Query Release - A Practical Algorithm for Private Analysis of High Dim
19:19
08 - Differential Privacy and Stochastic Gradient Descent
18:02
09 - Learning and DP
01:22:17
10 - Active Statistical Query Learning with Connections to Privacy
44:09
11 - From Stability to Differential Privacy
01:09:23
12 - A Stability-based Validation Procedure for Differentially Private Machine L
25:49
13 - Privacy, Forward Stability and Online Learning
37:48
14 - Extremal Mechanisms for Differential Privacy
46:39
15 - Local Privacy and Minimax Rates
01:01:20
16 - Sparse PCA in High Dimensions
29:29
17 - Private Learning and Sanitization - Pure vs. Approximate Differential Priva
24:35
18 - DP in the Streaming Model
01:07:38
19 - Turning Privacy-Utility Trade-offs Using Policies and an Application to US
34:39
20 - Differentially Private Empirical Risk Minimization
01:27:01
21 - The Power of Linear Reconstruction Attacks
28:09
22 - DP for Graphs and Social Networks
01:19:30
23 - Geometry of DP
01:08:21
24 - From Matrix Completion to Private Singular Vector Computation and Back
32:19
25 - Randomized Response for Private Principal Component Analysis
30:12
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