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Titlebook: Kraftwerksatlas mit Kennwerten von 200 Kraftwerken, 98 Kraftwerksbeschreibungen und 6 Ausführungsbei; Karl Schr?der Book 1959 Springer-Ver

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51#
發(fā)表于 2025-3-30 09:12:59 | 只看該作者
52#
發(fā)表于 2025-3-30 15:43:55 | 只看該作者
Karl Schr?dercommissions from the months of May, June and September 2013, along with numerous other amounts, were not seized by the FBI. This analysis demonstrates the power of data mining techniques in analyzing large payment systems, and especially publicly available transaction graphs of the type provided by
53#
發(fā)表于 2025-3-30 19:49:52 | 只看該作者
54#
發(fā)表于 2025-3-30 22:54:38 | 只看該作者
Karl Schr?dercommissions from the months of May, June and September 2013, along with numerous other amounts, were not seized by the FBI. This analysis demonstrates the power of data mining techniques in analyzing large payment systems, and especially publicly available transaction graphs of the type provided by
55#
發(fā)表于 2025-3-31 03:59:00 | 只看該作者
56#
發(fā)表于 2025-3-31 05:24:14 | 只看該作者
57#
發(fā)表于 2025-3-31 13:16:24 | 只看該作者
Karl Schr?derto account for all the variation seen in our experiment. Font metrics, being orthogonal to many other fingerprinting techniques, can augment and sharpen those other techniques..We seek ways for privacy-oriented web browsers to reduce the effectiveness of font metric–based fingerprinting, without und
58#
發(fā)表于 2025-3-31 14:43:09 | 只看該作者
Karl Schr?dercond, we introduce new algorithms for traffic morphing that are more generally applicable and do not depend on assumptions about the goals of the adversary. Finally, we evaluate our defenses against re-identification attacks, and show, using a large real-world corpus of spoken audio samples, that ou
59#
發(fā)表于 2025-3-31 17:36:03 | 只看該作者
60#
發(fā)表于 2025-3-31 22:47:50 | 只看該作者
Karl Schr?dercond, we introduce new algorithms for traffic morphing that are more generally applicable and do not depend on assumptions about the goals of the adversary. Finally, we evaluate our defenses against re-identification attacks, and show, using a large real-world corpus of spoken audio samples, that ou
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