Invention Grant
- Patent Title: Pure differentially private algorithms for summation in the shuffled model
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Application No.: US17122638Application Date: 2020-12-15
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Publication No.: US11902259B2Publication Date: 2024-02-13
- Inventor: Badih Ghazi , Noah Zeger Golowich , Shanmugasundaram Ravikumar , Pasin Manurangsi , Ameya Avinash Velingker , Rasmus Pagh
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, P.A.
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L9/40 ; G06N5/04 ; G06N20/00 ; H04L9/06 ; H04L9/08

Abstract:
An encoding method for enabling privacy-preserving aggregation of private data can include obtaining private data including a private value, determining a probabilistic status defining one of a first condition and a second condition, producing a multiset including a plurality of multiset values, and providing the multiset for aggregation with a plurality of additional multisets respectively generated for a plurality of additional private values. In response to the probabilistic status having the first condition, the plurality of multiset values is based at least in part on the private value, and in response to the probabilistic status having the second condition, the plurality of multiset values is a noise message. The noise message is produced based at least in part on a noise distribution that comprises a discretization of a continuous unimodal distribution supported on a range from zero to a number of multiset values included in the plurality of multiset values.
Public/Granted literature
- US20210243171A1 Pure Differentially Private Algorithms for Summation in the Shuffled Model Public/Granted day:2021-08-05
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