TCS+ talk: Wednesday, May 7, Palak Jain, Boston University

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Clement Canonne

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May 2, 2025, 3:14:40 AMMay 2
to 'Clement Canonne' via TCS+
Dear TCS+ followers,

Our next talk will take place this coming Wednesday, May 7th at 1:00 PM Eastern Time (10:00 AM Pacific Time, 19:00 Central European Time, 17:00 UTC). Palak Jain from Boston University will speak about "Enforcing Demographic Coherence: A Harms Aware Framework for Reasoning about Private Data Release" (abstract below).

Please sign up on the online form at https://sites.google.com/view/tcsplus/welcome/next-tcs-talk if you wish to join the talk as an individual or a group. Registration is /not/ required to attend the interactive talk, and the link will be posted on the website the day prior to the talk; however, by registering in the form, you will receive a reminder, along with the link. (The link to the recording will also be posted on our website afterwards.)

Hoping to see you all there,

The organizers

-------------------------------
Speaker: Palak Jain (Boston University)
Title: Enforcing Demographic Coherence: A Harms Aware Framework for Reasoning about Private Data Release

Abstract: Our work introduces demographic coherence enforcement, a framework for reasoning about privacy which is purposefully designed with socio-technical usability in mind. It contains sufficient formalism to enable rigorous analysis and provable realisation, all while keeping tangible harms compellingly salient. The framework also lends itself to natural experimental evaluation, which could help build practical intuition and support tangible assessment of risks.



In this talk, I will present our approach, which characterises the adversary as a predictive model and reframes the question of privacy loss in terms of potential inferential harms to vulnerable groups. I will then define demographic coherence enforcement, a property that we argue is necessary for privacy-preserving data curation. Finally, I will briefly touch on the connections between our framework and some existing privacy tools.

Based on joint work with Mark Bun, Marco Carmisino, Gabe Kaptchuk, and Satchit Sivakumar.

Clement Canonne

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May 6, 2025, 7:58:19 AMMay 6
to 'Clement Canonne' via TCS+
Dear TCS+ followers,

The link for tomorrow's TCS+ talk has been posted: you will be able to join tomorrow (Wednesday), starting at 12:50pm ET: https://berkeley.zoom.us/j/98954371813?pwd=V1hxN2Nrc2c5OEJFSWRqS29JeWM1dz09
(you will need a to be logged in on Zoom to join: a free account suffices)

Best,

-- Clément, on behalf of the TCS+ team

________________________________________
From: 'Clement Canonne' via TCS+ <tcsplus_...@googlegroups.com>
Sent: Friday, May 2, 2025 5:14 PM
To: 'Clement Canonne' via TCS+
Subject: TCS+ talk: Wednesday, May 7, Palak Jain, Boston University

Dear TCS+ followers,

Our next talk will take place this coming Wednesday, May 7th at 1:00 PM Eastern Time (10:00 AM Pacific Time, 19:00 Central European Time, 17:00 UTC). Palak Jain from Boston University will speak about "Enforcing Demographic Coherence: A Harms Aware Framework for Reasoning about Private Data Release" (abstract below).

Please sign up on the online form at https://url.au.m.mimecastprotect.com/s/fGy6CGv0oyCAA9qY5iKfRfBGTiv?domain=sites.google.com if you wish to join the talk as an individual or a group. Registration is /not/ required to attend the interactive talk, and the link will be posted on the website the day prior to the talk; however, by registering in the form, you will receive a reminder, along with the link. (The link to the recording will also be posted on our website afterwards.)

Hoping to see you all there,

The organizers

-------------------------------
Speaker: Palak Jain (Boston University)
Title: Enforcing Demographic Coherence: A Harms Aware Framework for Reasoning about Private Data Release

Abstract: Our work introduces demographic coherence enforcement, a framework for reasoning about privacy which is purposefully designed with socio-technical usability in mind. It contains sufficient formalism to enable rigorous analysis and provable realisation, all while keeping tangible harms compellingly salient. The framework also lends itself to natural experimental evaluation, which could help build practical intuition and support tangible assessment of risks.



In this talk, I will present our approach, which characterises the adversary as a predictive model and reframes the question of privacy loss in terms of potential inferential harms to vulnerable groups. I will then define demographic coherence enforcement, a property that we argue is necessary for privacy-preserving data curation. Finally, I will briefly touch on the connections between our framework and some existing privacy tools.

Based on joint work with Mark Bun, Marco Carmisino, Gabe Kaptchuk, and Satchit Sivakumar.

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