10 February 2011 Private content identification based on soft fingerprinting
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Abstract
In many problems such as biometrics, multimedia search, retrieval, recommendation systems requiring privacypreserving similarity computations and identification, some binary features are stored in the public domain or outsourced to third parties that might raise certain privacy concerns about the original data. To avoid this privacy leak, privacy protection is used. In most cases, privacy protection is uniformly applied to all binary features resulting in data degradation and corresponding loss of performance. To avoid this undesirable effect we propose a new privacy amplification technique that is based on data hiding principles and benefits from side information about bit reliability a.k.a. soft fingerprinting. In this paper, we investigate the identification-rate vs privacy-leak trade-off. The analysis is performed for the case of a perfect match between side information shared between the encoder and decoder as well as for the case of partial side information.
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Sviatoslav Voloshynovskiy, Sviatoslav Voloshynovskiy, Taras Holotyak, Taras Holotyak, Oleksiy Koval, Oleksiy Koval, Fokko Beekhof, Fokko Beekhof, Farzad Farhadzadeh, Farzad Farhadzadeh, } "Private content identification based on soft fingerprinting", Proc. SPIE 7880, Media Watermarking, Security, and Forensics III, 78800M (10 February 2011); doi: 10.1117/12.872524; https://doi.org/10.1117/12.872524
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