- From: James Honaker via GitHub <sysbot+gh@w3.org>
- Date: Mon, 01 Apr 2024 17:27:19 +0000
- To: public-patcg@w3.org
tercer has just created a new issue for https://github.com/patcg/meetings: == Agenda Request - Empirical Privacy == ## Agenda+: Privacy Metrics Task Force Empirical Privacy Report A summary of the Privacy Metrics Task Force investigation and development of Empirical Privacy techniques for measuring privacy-loss from ads measurement. ([Task force mission goals here](https://github.com/patcg/docs-and-reports/tree/main/privacy-metrics)) ## Time **30 minutes total:** * 10 Min (including questions): overview of Empirical Privacy (EP) techniques, and the use of EP to measure use case specific privacy leakage. * 10 Min (including questions): to summarize working groups tailoring of EP to the private ads use case, including definition of threat model, and metrics for privacy loss. * 10 Min (including questions): for preliminary experimental findings on the leakage from attribution aggregates. ### Links Preliminary Documents, with more to follow: * [Empirical Privacy Metrics Overview](https://docs.google.com/document/d/1IFI6m4FU0ex-X7s_qdPZBnc9QSnat1F5_zlSZ-L7slw/edit?usp=sharing) - high level summary of the most relevant metrics in the current literature. * [Table of Metric Comparisons](https://docs.google.com/document/d/12yrwwqd-Su-SJEK86IauOQZ65MlzV1u-PRa-8Mb6U60/edit?usp=sharing) - summary table of existing metrics and their performance under the groups desiderata. Please view or discuss this issue at https://github.com/patcg/meetings/issues/171 using your GitHub account -- Sent via github-notify-ml as configured in https://github.com/w3c/github-notify-ml-config
Received on Monday, 1 April 2024 17:27:20 UTC