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Titlebook: Data Privacy Management, Cryptocurrencies and Blockchain Technology; ESORICS 2021 Interna Joaquin Garcia-Alfaro,Jose Luis Mu?oz-Tapia,Migue

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31#
發(fā)表于 2025-3-27 00:30:49 | 只看該作者
32#
發(fā)表于 2025-3-27 03:14:47 | 只看該作者
Miguel Martínez Lucio,Robert Perrettd processes adhere to a global, . failure model, typically only defined by bounds on the number of faulty processes. More flexible trust assumptions have recently been considered, especially in connection with blockchains. With ., in particular, a process is free to choose which other processes it t
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發(fā)表于 2025-3-27 08:53:59 | 只看該作者
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發(fā)表于 2025-3-27 12:21:05 | 只看該作者
Data Privacy Management, Cryptocurrencies and Blockchain Technology978-3-030-93944-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
35#
發(fā)表于 2025-3-27 17:27:48 | 只看該作者
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發(fā)表于 2025-3-27 19:27:40 | 只看該作者
https://doi.org/10.1007/978-3-030-93944-1anonymity and untracability; artificial intelligence; computer security; consensus mechanisms; cryptogra
37#
發(fā)表于 2025-3-28 00:05:20 | 只看該作者
38#
發(fā)表于 2025-3-28 04:03:36 | 只看該作者
0302-9743 were accepted out of 31 submissions. They were organized in topical sections as follows: Mining, consensus and market manipulation; smart contracts and anonymity..978-3-030-93943-4978-3-030-93944-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
39#
發(fā)表于 2025-3-28 08:49:51 | 只看該作者
Making Decisions About Indicatorsn confounding factors. After investigating company attributes individually, we identify the significant confounding factors that represent obstacles to risk analysis. Using hypothesis testing and multiple logistic regression analysis, we adjust odds ratios for 17 security measures, social responsibi
40#
發(fā)表于 2025-3-28 12:09:52 | 只看該作者
Community Quality-of-Life and Well-Beingr training data. We evaluate our synthesizer using the Foursquare dataset. Our experimental results show that our synthesizer preserves the information about co-locations and other statistical information (e.g., population distribution, transition matrix) while providing DP with a reasonable privacy
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