US 11,941,148 B2
Systems and methods for optimal privacy-preserving information revelation
Yucel Altug, Redwood City, CA (US); and Seda Aktas, Redwood City, CA (US)
Filed by Yucel Altug, Redwood City, CA (US); and Seda Aktas, Redwood City, CA (US)
Filed on Feb. 7, 2023, as Appl. No. 18/106,824.
Application 18/106,824 is a continuation of application No. 16/840,776, filed on Apr. 6, 2020, granted, now 11,574,076.
Claims priority of provisional application 62/829,504, filed on Apr. 4, 2019.
Prior Publication US 2023/0185958 A1, Jun. 15, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 21/62 (2013.01)
CPC G06F 21/6245 (2013.01) [G06F 2221/2115 (2013.01)] 5 Claims
OG exemplary drawing
 
1. A method of preserving privacy in a data set used to estimate information configured to be used by a third party, the method comprising the steps of:
receiving an initial information data set and a user's privacy setting, the user's privacy setting including one or more privacy instructions defining conditions for sharing regarding the initial information data set;
using the initial information data set and the user's privacy setting as input, producing a privacy-preserving stochastic map using an updated prior knowledge data set, the user's privacy setting, and extraction noise statistics as inputs and then applying the privacy-preserving stochastic map to an extracted initial information data set to produce an adjusted information data set; and
using the adjusted information data set and the privacy-preserving stochastic map as inputs, applying a stochastic inference algorithm to produce an estimate of the initial information data set and an estimation error value, wherein the adjusted information data set is constrained to meet every condition defined within the user's privacy setting.