NIST Differential Privacy Temporal Map Challenge
Salil Vadhan
From: Christine Task <christi...@knexusresearch.com>
Date: Tue, Sep 22, 2020 at 4:35 PM
Subject: 2020 NIST Differential Privacy Temporal Map Challenge
Greetings,
We are announcing, and inviting you to participate in, the National Institute of Technology and Standards (NIST) Public Safety Communications Research (PSCR) second national challenge in Differential Privacy. The competition, with up to $276,000 in prizes, will be kicking off soon on October 1st.
The Differential Privacy Temporal Map Challenge https://deid.drivendata.org focuses on privatizing time-stamped, geographically-aggregated data in which one individual may contribute to a sequence of events. This problem captures a diverse array of applications, ranging from epidemiology and disaster response, to marketing, economics and civic planning. Where the 2018 NIST Challenge focused on Differentially Private Synthetic Data, the 2020 Temporal Map Data Challenge will introduce new challenges with geographical heterogeneity, sparse data, and longitudinal/sequence privacy.
The goal of this challenge is to advance differential privacy approaches that preserve the utility of datasets containing time and geographic information, while guaranteeing that the privacy of the individuals in the datasets is protected. This is a multi-stage contest that will award up to $276,000 in prizes to the top performing teams.
In addition to seeking differentially private algorithms to de-identify the datasets, we are also seeking new evaluation metrics to evaluate whether these algorithms successfully maintain the data utility. Participants may compete in the privacy algorithm competition, the evaluation metric competition, or both.
Think you’re up for the challenge? The first sprint of the challenge will be open to submissions soon, starting October 1st! You can learn more and sign up to participate by visiting the challenge here https://deid.drivendata.org. Please also share this with any interested colleagues!
Regards,
Christine Task
Knexus Research
Tech Lead, PSCR Differential Privacy Challenges
Gary Howarth
Prize Manager
Christine Task
Challenge Invitation:
We are announcing, and inviting you to participate in, the National Institute of Technology and Standards (NIST) Public Safety Communications Research (PSCR) second national challenge in Differential Privacy. The competition, with up to $276,000 in prizes kicks off on October 1st.
The Differential Privacy Temporal Map Challenge https://deid.drivendata.org focuses on privatizing time-stamped, geographically-aggregated data in which one individual may contribute to a sequence of events. This problem captures a diverse array of applications, ranging from epidemiology and disaster response, to marketing, economics and civic planning. Where the 2018 NIST Challenge focused on Differentially Private Synthetic Data, the 2020 Temporal Map Data Challenge will introduce new challenges with geographical heterogeneity, sparse data, and longitudinal/sequence privacy.
The goal of this challenge is to advance differential privacy approaches that preserve the utility of datasets containing time and geographic information, while guaranteeing that the privacy of the individuals in the datasets is protected. This is a multi-stage contest that will award up to $276,000 in prizes to the top performing teams.
In addition to seeking differentially private algorithms to de-identify the datasets, we are also seeking new evaluation metrics to evaluate whether these algorithms successfully maintain the data utility. Participants may compete in the privacy algorithm competition, the evaluation metric competition, or both.
Think you’re up for the challenge? The first sprint of the challenge will be open to submissions starting October 1st! You can learn more and sign up to participate by visiting the challenge here https://deid.drivendata.org. Please also share this with any interested colleagues!
Regards,
Tech Lead, PSCR Differential Privacy Challenges
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