Invention Grant
- Patent Title: Privacy-preserving dataset sketches that can be joined non-interactively
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Application No.: US17810306Application Date: 2022-06-30
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Publication No.: US12147557B2Publication Date: 2024-11-19
- Inventor: James Alexander Cook , Nina Mishra
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Kowert, Hood, Munyon, Rankin & Goetzel, P.C.
- Agent S. Scott Foster
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G06F16/2455 ; G06F21/00

Abstract:
Computer systems and associated methods are disclosed to implement the non-interactive join of privacy-preserving dataset sketches. In some embodiments, an entity can publish a one-time sketch of their dataset that would enable another entity to join their data without exposing private information. The sketch can map, using a hash function, the identities associated with a first value of the dataset to a data structure, in some embodiments. A same or different entity can join the first sketch with a privacy-preserving second sketch of a second dataset that includes added noise, and can determine an estimate of a number of identities that correspond with specific values of the first and second datasets from the joined dataset. The sketch can be published just one time, and therefore does not require separate new private computations with privacy budgeting for each additional party when a join is desired, in some embodiments.
Public/Granted literature
- US20240005022A1 PRIVACY-PRESERVING DATASET SKETCHES THAT CAN BE JOINED NON-INTERACTIVELY Public/Granted day:2024-01-04
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