US 12,135,820 B2
Automatically detecting unauthorized re-identification
Jonathan Krafcik, Mercer Island, WA (US); Gang Wang, Frederick, MD (US); and Yibo Chen, Cupertino, CA (US)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Jun. 15, 2023, as Appl. No. 18/335,460.
Application 18/335,460 is a continuation of application No. 17/375,665, filed on Jul. 14, 2021, granted, now 11,720,710.
Application 17/375,665 is a continuation of application No. 16/412,027, filed on May 14, 2019, granted, now 11,093,644, issued on Aug. 17, 2021.
Prior Publication US 2023/0334178 A1, Oct. 19, 2023
Int. Cl. G06F 21/62 (2013.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01)
CPC G06F 21/6254 (2013.01) [G06F 21/6263 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01)] 19 Claims
OG exemplary drawing
 
1. A method, comprising:
identifying, by one or more computing devices, a set of website content previously accessed by a client device;
identifying, by the one or more computing devices, a set of third-party content that was provided to the client device by a third-party content provider after the client device accessed the set of website content, wherein the set of third-party content differs from the set of website content;
determining, by a machine learning model executed by the one or more computing devices, a likelihood that the third-party content provider is tracking activity of the client device based on a similarity between one or more characteristics of the set of website content previously accessed by the client device and at least one characteristic of the set of third-party content provided to the client device after accessing the set of website content, wherein the determined likelihood increases as the similarity increases;
determining, by the machine learning model, that the third-party content provider is tracking the activity of the client device when the determined likelihood is above a specified threshold likelihood; and
causing, by the one or more computing devices, further third-party content provided by the third-party content provider to be blocked form presentation at the client device based on the determination that the third-party content provider is tracking the activity of the client device.