Invention Grant
- Patent Title: Personalized privacy assistant
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Application No.: US17165775Application Date: 2021-02-02
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Publication No.: US11768949B2Publication Date: 2023-09-26
- Inventor: Norman Sadeh , Bin Liu , Anupam Das , Martin Degeling , Florian Schaub
- Applicant: Carnegie Mellon University
- Applicant Address: US PA Pittsburgh
- Assignee: Carnegie Mellon University
- Current Assignee: Carnegie Mellon University
- Current Assignee Address: US PA Pittsburgh
- Agency: K&L Gates LLP
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G06F21/60 ; G06N7/00 ; H04L9/40 ; G06N20/00 ; H04L67/306 ; H04L67/12 ; H04L67/50

Abstract:
A system and method configures permission settings for applications (“apps”) running on a computing device of a user. A data center generates at least one model of collective privacy preferences. The computing device is in communication with the data center via a communications network. The computing device comprises a processor that execute at least a first app that requests access to at least one permission of the computing device and a personal privacy assistant app. The personal privacy assistant app receives the at least one model from the one or more servers of the data center; collects information about the user; identifies at least one recommended permission setting for the first app based on the at least one model and such that the recommended permission setting is user-specific; and configures the computing device to implement the received at least one user-specific recommended permission setting.
Public/Granted literature
- US20210319122A1 PERSONALIZED PRIVACY ASSISTANT Public/Granted day:2021-10-14
Information query