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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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樓主: Prehypertension
41#
發(fā)表于 2025-3-28 15:30:38 | 只看該作者
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發(fā)表于 2025-3-28 19:26:45 | 只看該作者
43#
發(fā)表于 2025-3-28 23:25:34 | 只看該作者
Sports Volunteering and Community Engagementis work, we propose a method that is able to achieve better model accuracy by using the knowledge encoded within the trained model, and guiding our anonymization process to minimize the impact on the model’s accuracy, a process we call .. We demonstrate that by focusing on the model’s accuracy rathe
44#
發(fā)表于 2025-3-29 05:50:08 | 只看該作者
Miguel Martínez Lucio,Robert Perrett an ASIC token which is separate from the currency itself (the amount of stake equals your virtual computing power). In the other boundary case where virtual computers are free, we get a proof-of-burn equivalent. That is, a consensus mechanism in which miners ‘burn’ currency to obtain lottery ticket
45#
發(fā)表于 2025-3-29 08:47:04 | 只看該作者
46#
發(fā)表于 2025-3-29 15:04:51 | 只看該作者
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發(fā)表于 2025-3-29 18:45:51 | 只看該作者
Quantitative Rubric for Privacy Policy Analysiscy policy analysis or by the results from our fake identities. In our analysis of 177 company documents, as 11 companies did not have any policies, we confirm the length and difficulty in reading in reading policies and find that companies adhere to jurisdiction-based regulations in addition to find
48#
發(fā)表于 2025-3-29 23:24:37 | 只看該作者
Rethinking the?Limits of?Mobile Operating System Permissionsid mobile operating system producers start to introduce more fine-grained controls. In this paper, we examine the evolution of these controls since the widespread adoption of smartphones and examine the current trends. We describe research that has provided both an improved awareness of privacy and
49#
發(fā)表于 2025-3-30 01:36:44 | 只看該作者
Anonymizing Machine Learning Modelsis work, we propose a method that is able to achieve better model accuracy by using the knowledge encoded within the trained model, and guiding our anonymization process to minimize the impact on the model’s accuracy, a process we call .. We demonstrate that by focusing on the model’s accuracy rathe
50#
發(fā)表于 2025-3-30 06:02:17 | 只看該作者
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