向下
发表于 2025-3-26 21:28:48
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愤怒历史
发表于 2025-3-27 04:38:09
https://doi.org/10.1007/978-3-662-56664-0 numbers to each other. Then, we present the VGuard framework that uses Xhash as the basic building block. The basic idea of VGuard is to first convert a firewall policy to non-overlapping numerical rules and then use Xhash to check whether a request matches a rule. Comparing with the Cross-Domain C
咯咯笑
发表于 2025-3-27 06:58:48
https://doi.org/10.1007/978-3-662-56664-0ivacy of the individual ACLs. This protocol can accurately determine the network reachability along a network path through different administrative domains. We have implemented and evaluated our protocol on both real and synthetic ACLs. The experimental results show that the on-line processing time
Charitable
发表于 2025-3-27 10:39:34
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Reservation
发表于 2025-3-27 17:24:11
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hereditary
发表于 2025-3-27 18:20:29
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费解
发表于 2025-3-27 23:05:43
https://doi.org/10.1007/978-3-322-89587-5rix. In this chapter, we first prove that random projection plus random perturbation preserve differential privacy, and also that the random noise required to achieve differential privacy is small. We validate the proposed approach and evaluate the utility of the published data for three different a
失望未来
发表于 2025-3-28 03:35:19
,Resümee und weiterführende Überlegungen,rage, histogram, and classifiers. Finally, we propose and implement the .. application framework. Both measurement results using online datasets and real-world case studies show that the .. provides accurate risk assessments and utility estimations, which makes it a promising framework to support fu
不规则
发表于 2025-3-28 08:43:51
https://doi.org/10.1007/978-3-658-10440-5the asymptotic regret bounds achieved by prior BMAB algorithms. We performed side-by-side comparisons with prior schemes in our experiments. Experimental results show that our algorithm not only achieves significantly better regret performance, but also is more than 20 times faster than prior BMAB s
龙虾
发表于 2025-3-28 12:50:54
https://doi.org/10.1007/978-3-662-67891-6For slightly larger candidate set size of 20, COLD achieves almost 100% hit rate. In contrast, a baseline method using time series correlation could only achieve less than 5% hit rate for similar candidate set sizes.