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08/30/2023
Publishing Wikipedia usage data with strong privacy guarantees
For almost 20 years, the Wikimedia Foundation has been publishing statis...
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01/05/2023
DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection
Partition selection, or set union, is an important primitive in differen...
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12/08/2022
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy
In this short paper, we outline the design of Tumult Analytics, a Python...
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07/27/2022
Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers
Despite being raised as a problem over ten years ago, the imprecision of...
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07/02/2021
Google COVID-19 Vaccination Search Insights: Anonymization Process Description
This report describes the aggregation and anonymization process applied ...
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06/15/2021
A General Purpose Transpiler for Fully Homomorphic Encryption
Fully homomorphic encryption (FHE) is an encryption scheme which enables...
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09/02/2020
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)
This report describes the aggregation and anonymization process applied ...
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06/05/2020
Differentially private partition selection
Many data analysis operations can be expressed as a GROUP BY query on an...
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04/08/2020
Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0)
This document describes the aggregation and anonymization process applie...
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09/04/2019
Differentially Private SQL with Bounded User Contribution
Differential privacy (DP) provides formal guarantees that the output of ...
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06/04/2019
SoK: Differential Privacies
Shortly after its introduction in 2006, differential privacy became the ...
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05/02/2019
Passive and active attackers in noiseless privacy
Differential privacy offers clear and strong quantitative guarantees for...
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08/17/2018
