Abstract | ||
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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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Year | DOI | Venue |
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2017 | 10.1145/3133956.3138848 | CCS |
Keywords | Field | DocType |
Forensics, privacy, photographer identification, photographer de-anonymisation, inverse problems | Internet privacy,World Wide Web,Computer security,Computer science,Attribution,Image forensics | Conference |
ISBN | Citations | PageRank |
978-1-4503-4946-8 | 0 | 0.34 |
References | Authors | |
2 | 2 |
Name | Order | Citations | PageRank |
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Jianxin Jeff Yan | 1 | 876 | 63.76 |
Aurélien Bourquard | 2 | 111 | 6.70 |