QIM WATERMARKING GAMES (MP-L5)

Author(s) : Anil Kumar Goteti (University of Illinois, Urbana-Champaign, USA) Pierre Moulin (University of Illinois, Urbana-Champaign, USA)

Abstract : Quantization Index Modulation (QIM) methods are widely used for blind data embedding and watermarking. Given a QIM watermarking code, we ask what is the attacker’s noise distribution that maximizes probability of error of the detector. For memoryless attacks, the problem is reduced to a convex programming problem. Next, we derive QIM code parameters that are minmax optimal.

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