"Do You Know You Are Tracked by Photos That You Didn't Take": Large-Scale Location-Aware Multi-Party Image Privacy Protection

Most existing image privacy protection works focus mainly on the privacy of photo owners and their friends, but lack the consideration of other people who are in the background of the photos and the related location privacy issues. In fact, when a person is in the background of someone else's p...

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Bibliographic Details
Published in:IEEE transactions on dependable and secure computing 2023-01, Vol.20 (1), p.301-312
Main Authors: Morris, Joshua, Newman, Sara, Palaniappan, Kannappan, Fan, Jianping, Lin, Dan
Format: Article
Language:English
Subjects:
Access control
Face recognition
Faces
Image sharing
location privacy
Metadata
person in the photo background
Privacy
scalability
Social networking (online)
Social networks
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Summary:Most existing image privacy protection works focus mainly on the privacy of photo owners and their friends, but lack the consideration of other people who are in the background of the photos and the related location privacy issues. In fact, when a person is in the background of someone else's photos, he/she may be unintentionally exposed to the public when the photo owner shares the photo online. Not only a single visited place could be exposed, attackers may also be able to piece together a person's travel route from images. In this article, we propose a novel image privacy protection system, called LAMP, which aims to light up the location awareness for people during online image sharing. The LAMP system is based on a newly designed location-aware multi-party image access control model. Unlike previous works on small scales, the LAMP system is highly efficient and scalable as it can enforce privacy protection for billions of users on social networks in real time. The LAMP system automatically detects the user's occurrences on photos regardless the user is the photo owner or not. Once a user is identified and the location of the photo is deemed sensitive according to the user's privacy policy, the user's face will be replaced with a synthetic face. A prototype of the system was implemented and evaluated to demonstrate its applicability in the real world.
ISSN:1545-5971
1941-0018
DOI:10.1109/TDSC.2021.3132230