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• W2010291444 abstract "This paper presents our recent works on multimedia fingerprinting, which consists in improving both the fingerprinting code and the watermarking scheme. The fingerprinting code is the well known Tardos code. Our contributions only focus on deriving a better accusation process. It appears that Tardos orginal decoding is very conservative: its performances are guaranteed whatever the collusion strategy. Indeed, major improvements stems from the knowledge of the collusion strategy. Therefore, this paper investigates whether it is possible to learn and adapt to the collusion strategy. This done with an iterative algorithm a la EM, where a better estimation of their strategy yields a better tracing of the colluders, which in return yields a better estimation of their strategy etc. The second part focuses on the multimedia watermarking scheme. In a previous paper, we already used the `Broken Arrows' technique as the watermarking layer for multimedia fingerprinting. However, a recent paper from A. Westfeld discloses a flaw in this technique. We just present a counter-measure which blocks this security hole while preserving the robustness of the original technique." @default.
• W2010291444 created "2016-06-24" @default.
• W2010291444 creator A5021506218 @default.
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• W2010291444 date "2009-02-05" @default.
• W2010291444 modified "2023-09-25" @default.
• W2010291444 title "Expectation maximization decoding of Tardos probabilistic fingerprinting code" @default.
• W2010291444 cites W1498588281 @default.
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• W2010291444 doi "https://doi.org/10.1117/12.806034" @default.
• W2010291444 hasPublicationYear "2009" @default.
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