Data Analytics Privacy Platform with Quantified Re-Identification Risk
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
N/A
Issued Date -
Nov 2, 2023
app pub date -
Sep 17, 2021
filing date -
Sep 18, 2020
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
The present invention is directed to a differential privacy platform in which the privacy risk of a computation can be objectively and quantitatively calculated. This measurement is performed by simulating a sophisticated privacy attack on the system for various measures of privacy cost or epsilon, and measuring the level of success of the attack. In certain embodiments, a linear program reconstruction-type attack is used. By calculating the loss of privacy resulting from sufficient attacks at a particular epsilon, the platform may calculate a level of risk for a particular use of data. The privacy budget for the use of the data may thereby be set and controlled by the platform to remain below a desired risk threshold.
First Claim
Family
International Classification(s)
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully