By Trappe, Wu, Liu
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Extra resources for Anti-Collusion Fingerprinting for Multimedia
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1993.  I. Ziskind and M. Wax, “Maximum likelihood localization of multiple source by alternate projection,” IEEE Trans. ASSP, vol. 36, pp. 1553–1560, Oct. 1988.  R. Vaccaro T. Manickam and D. Tufts, “A least-squares algorithm for multipath time-delay estimation,” IEEE Trans. on Signal Processing, vol. 42, pp. 3229–3233, Nov. 1994. 1 0 −25 −10 WNR (dB) −20 −15 −10 −5 0 −25 0 −20 −15 −10 −5 0 WNR (dB) WNR (dB) (e) (f) Figure 5: (a) The fraction of colluders that are successfully captured, or placed under suspicion, (b) the fraction of the total group that are innocent and falsely placed under suspicion for diﬀerent WNR and diﬀerent thresholds, (c) the probability of missing user 1 when he is guilty, (d) the probability of falsely accusing user 1 when he is innocent, (e) the probability of not capturing any colluder, and (f) the probability of putting at least one innocent under suspicion.
Kilian, T. Leighton, L. R. Matheson, T. G. Shamoon, R. E. Tarjan, and F. Zane, “Resistance of digital watermarks to collusive attacks,” Tech. Rep. TR-585-98, Department of Computer Science, Princeton University, 1998. K. J. Eggers, and B. Girod, “Capacity of digital watermarks subjected to an optimal collusion attack,” in European Signal Processing Conference (EUSIPCO 2000), 2000.  W. Trappe, M. R. Liu, “Collusion-resistant ﬁngerprinting for multimedia,” in IEEE Int. Conference on Acoustics, Speech, and Signal Processing, 2002, pp.
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