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Rethinking optimal embedding

Abstract:

At present, almost all leading steganographic techniques for still images use a distortion minimization paradigm, where each potential change is assigned a cost ci and the change probabilities πi chosen to minimize the average total cost Σiπici. However, some detectors have exploited knowledge of this adaptivity and the embedding cannot be considered optimal. In this work we prove a theoretical result suggesting that, against a knowing at...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
Association for Computing Machinery Publisher's website
Journal:
IHandMMSec '16 Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security Journal website
Pages:
93-102
Publication date:
2016-01-01
Acceptance date:
2016-04-18
Event start date:
2016-06-20T00:00:00Z
Source identifiers:
618187
Keywords:
Pubs id:
pubs:618187
UUID:
uuid:4378e6bd-bd77-4cda-8b8d-0b6d879eab8e
Local pid:
pubs:618187
Deposit date:
2016-04-28

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