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Who was behind the camera?-Towards some new forensics

Who was behind the camera?-Towards some new forensics
Who was behind the camera?-Towards some new forensics

We motivate a new line of image forensics, and propose a novel approach to photographer identification, a rarely explored authorship attribution problem. A preliminary proof-of-concept study shows the feasibility of our method. Our contribution is a forensic method for photographer de-anonymisation, and the method also imposes a novel privacy threat.

Forensics, Inverse problems, Photographer de-anonymisation, Photographer Identification, Privacy
2595-2597
Yan, Jeff
a2c03187-3722-46c8-b73b-439eb9d1a10e
Bourquard, Aurélien
375041b1-655a-47b5-a8d4-6c3b7f476c2b
Yan, Jeff
a2c03187-3722-46c8-b73b-439eb9d1a10e
Bourquard, Aurélien
375041b1-655a-47b5-a8d4-6c3b7f476c2b

Yan, Jeff and Bourquard, Aurélien (2017) Who was behind the camera?-Towards some new forensics. 24th ACM SIGSAC Conference on Computer and Communications Security, CCS 2017, , Dallas, United States. 30 Oct - 03 Nov 2017. pp. 2595-2597 . (doi:10.1145/3133956.3138848).

Record type: Conference or Workshop Item (Poster)

Abstract

We motivate a new line of image forensics, and propose a novel approach to photographer identification, a rarely explored authorship attribution problem. A preliminary proof-of-concept study shows the feasibility of our method. Our contribution is a forensic method for photographer de-anonymisation, and the method also imposes a novel privacy threat.

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More information

Published date: 30 October 2017
Additional Information: Publisher Copyright: © 2017 author(s).
Venue - Dates: 24th ACM SIGSAC Conference on Computer and Communications Security, CCS 2017, , Dallas, United States, 2017-10-30 - 2017-11-03
Keywords: Forensics, Inverse problems, Photographer de-anonymisation, Photographer Identification, Privacy

Identifiers

Local EPrints ID: 504143
URI: http://eprints.soton.ac.uk/id/eprint/504143
PURE UUID: 36b93c32-ceb6-4f3a-b32f-e3b90450b3b7

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Date deposited: 27 Aug 2025 16:50
Last modified: 27 Aug 2025 16:50

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Contributors

Author: Jeff Yan
Author: Aurélien Bourquard

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