Media Summary: Damien Desfontaines (Google / ETH Zürich), James Voss (Google), Bryant Gipson (Google), and Chinmoy Mandayam (Google) 'DP-SIPS: A simpler; more scalable mechanism for The value of individual-level data for research must be balanced against the privacy concerns of individuals. I discuss an ...

Differentially Private Partition Selection - Detailed Analysis & Overview

Damien Desfontaines (Google / ETH Zürich), James Voss (Google), Bryant Gipson (Google), and Chinmoy Mandayam (Google) 'DP-SIPS: A simpler; more scalable mechanism for The value of individual-level data for research must be balanced against the privacy concerns of individuals. I discuss an ... Speaker: Alireza Fallah, Massachusetts Institute of Technology Date: July 29th, 2022 Abstract: ... Speaker: Satchit Sivakumar, Boston University Date: July 29th, 2022 Abstract: ... A Google TechTalk, 2025-07-09, presented by Zinan Lin Privacy in ML Seminar. ABSTRACT: Generating

A Google TechTalk, presented by Ruihan Wu, 2022/08/31 Algorithm configuration is an important aspect of modern data science and algorithm design. Algorithms regularly depend on ...

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[3B] Differentially private partition selection
Differentially private partition selection
[2B] DP-SIPS: A simpler; more scalable mechanism for differentially private partition selection
Joshua Falk: Generating realistic, differentially private data sets using GANs | PyData NYC 2019
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms
Differentially Private Best Subset Selection Via Integer Programming
Differentially Private Sampling from Distributions
Differentially Private Synthetic Data without Training
Shay Moran: "Differentially Private Linear Algebra"
Differential Privacy for Growing Databases
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data
Differentially Private Multi-party Data Release for Linear Regression
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[3B] Differentially private partition selection

[3B] Differentially private partition selection

Damien Desfontaines (Google / ETH Zürich), James Voss (Google), Bryant Gipson (Google), and Chinmoy Mandayam (Google)

Differentially private partition selection

Differentially private partition selection

PETS 2022 Hacking conference #hacking, #hackers, #infosec, #opsec, #IT, #security.

[2B] DP-SIPS: A simpler; more scalable mechanism for differentially private partition selection

[2B] DP-SIPS: A simpler; more scalable mechanism for differentially private partition selection

'DP-SIPS: A simpler; more scalable mechanism for

Joshua Falk: Generating realistic, differentially private data sets using GANs | PyData NYC 2019

Joshua Falk: Generating realistic, differentially private data sets using GANs | PyData NYC 2019

The value of individual-level data for research must be balanced against the privacy concerns of individuals. I discuss an ...

Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms

Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms

Speaker: Alireza Fallah, Massachusetts Institute of Technology Date: July 29th, 2022 Abstract: ...

Differentially Private Best Subset Selection Via Integer Programming

Differentially Private Best Subset Selection Via Integer Programming

Private

Differentially Private Sampling from Distributions

Differentially Private Sampling from Distributions

Speaker: Satchit Sivakumar, Boston University Date: July 29th, 2022 Abstract: ...

Differentially Private Synthetic Data without Training

Differentially Private Synthetic Data without Training

A Google TechTalk, 2025-07-09, presented by Zinan Lin Privacy in ML Seminar. ABSTRACT: Generating

Shay Moran: "Differentially Private Linear Algebra"

Shay Moran: "Differentially Private Linear Algebra"

Differential

Differential Privacy for Growing Databases

Differential Privacy for Growing Databases

We study the design of

AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data

AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data

Research paper talk for VLDB 2022.

Differentially Private Multi-party Data Release for Linear Regression

Differentially Private Multi-party Data Release for Linear Regression

A Google TechTalk, presented by Ruihan Wu, 2022/08/31

Ellen Vitercik on Differentially Private Algorithm and Auction Configuration

Ellen Vitercik on Differentially Private Algorithm and Auction Configuration

Algorithm configuration is an important aspect of modern data science and algorithm design. Algorithms regularly depend on ...