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Title

Worst Case Additive Attack against Quantization-Based Watermarking Techniques

Authors
Perez-Gonzalez, F.
Published in IEEE 6th Workshop on Multimedia Signal Processing (MMSP 2004). Siena (Italy) - Sep 29-oct 1 - IEEE. 2004, p. 135-138
Abstract In the scope of quantization-based watermarking techniques and additive attacks, there exists a common belief that the worst case attack (WCA) is given by additive white Gaussian noise (AWGN). Nevertheless, it has not been proved that the AWGN is indeed the WCA within the class of additive attacks against quantization-based watermarking. In this paper, the analysis of the WCA is theoretically developed with probability of error as a cost function. The adopted approach includes the possibility of masking the attack by a target probability density function (PDF) in order to trick smart decoding. The developed attack upper bounds the probability of error for quantization-based embedding schemes within the class of additive attacks.
Keywords AWGNProbabilityquantisation (signal)watermarking
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
Stochastic Information Processing Group
Citation
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VILA FORCEN, Jose Emilio et al. Worst Case Additive Attack against Quantization-Based Watermarking Techniques. In: IEEE 6th Workshop on Multimedia Signal Processing (MMSP 2004). Siena (Italy). [s.l.] : IEEE, 2004. p. 135-138. https://archive-ouverte.unige.ch/unige:47942

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Deposited on : 2015-03-06

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