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Titlebook: Computer Security. ESORICS 2023 International Workshops; CyberICS, DPM, CBT, Sokratis Katsikas,Frédéric Cuppens,Stefanos Gritza Conference

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11#
發(fā)表于 2025-3-23 10:10:48 | 只看該作者
https://doi.org/10.1057/9780230372672the known ethical and legal issues of the e-commerce grew in significance; there also appeared a number of new, unprecedented challenges. This paper presents the results of a novel study aimed at identifying the most significant ethical and legal issues of e-commerce that appeared alongside the COVI
12#
發(fā)表于 2025-3-23 15:32:13 | 只看該作者
https://doi.org/10.1007/978-3-642-72845-7e attacks (MIAs), based on shadow modeling, have become the standard to evaluate the privacy of synthetic data, they currently assume the attacker to have access to an auxiliary dataset sampled from a similar distribution as the training dataset. This is often seen as a very strong assumption in pra
13#
發(fā)表于 2025-3-23 21:03:45 | 只看該作者
D. R. Laur,A. W. Ebeling,D. A. Coonring and crossing as an opportunity to improve and produce new business opportunities. The health sector is one area where this proves to be true, enabling better and more innovative treatments. Notwithstanding, this raises concerns regarding personal data being treated and processed. In this paper,
14#
發(fā)表于 2025-3-23 22:38:06 | 只看該作者
15#
發(fā)表于 2025-3-24 04:28:28 | 只看該作者
Not All Communities Are Created Equalxplored. To examine privacy issues in VTO websites and apps, we analyze 138 websites and 28 Android apps that offer VTO. By capturing and analyzing the network traffic, we found that 65% of the websites send user images to a server: 8% to first-party (FP) servers only, and 57% to third-party (TP) se
16#
發(fā)表于 2025-3-24 09:00:32 | 只看該作者
Not All Communities Are Created Equals’ privacy are a primary requirement. Our work contributes to the Privacy-Preserving Data Mining (PPDM) domain. We work with Integral Privacy, which provides users with private machine learning model recommendations and privacy against model comparison attacks. For machine learning, we work with Sup
17#
發(fā)表于 2025-3-24 11:23:53 | 只看該作者
Day-to-Day Management of Your Communityisting traffic flow prediction techniques using deep learning, mostly LSTMs, have achieved enormous success based on the large traffic flow datasets collected by governments and different organizations. Nevertheless, a lot of these datasets contain sensitive attributes that may relate to users’ priv
18#
發(fā)表于 2025-3-24 16:20:57 | 只看該作者
19#
發(fā)表于 2025-3-24 20:50:51 | 只看該作者
20#
發(fā)表于 2025-3-25 02:37:59 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233883.jpg
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