SCORE
发表于 2025-3-23 11:43:04
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PURG
发表于 2025-3-23 17:12:19
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Arthritis
发表于 2025-3-23 22:01:37
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GRIEF
发表于 2025-3-24 00:03:54
Theodor Nasemann,Wolfhard SauerbreyIt may be of independent interest for cryptography because idealizing signature schemes has proved surprisingly error-prone. However, we also explain why using it makes the overall proof of the justification of the Dolev-Yao type model more complicated instead of simpler..We further present a techni
半圆凿
发表于 2025-3-24 03:21:53
ion, the RSA assumption, or their variants in the standard model..Chin, Heng, and Goi proposed an HIBI protocol passively and concurrently secure under the CDH and one-more CDH assumption, respectively (FGIT-SecTech 2009). However, its security is proved in the random oracle model.
FUSC
发表于 2025-3-24 06:55:25
dvancements in computational infrastructures. One prominent example application of ML is given by image recognition services that allow to recognize characteristics in images and classify them accordingly. One question that arises, also in light of current debates that are fueled with emotions rathe
periodontitis
发表于 2025-3-24 12:41:42
Theodor Nasemann,Wolfhard Sauerbrey-art graph anonymization techniques suffer from a lack of strong defense against De-Anonymization (DA) attacks mostly because of the bias towards utility preservation. In this paper, we propose ., an Efficient .enetic .lgorithm for .raph .nonymization, that simultaneously delivers high anonymization
挑剔为人
发表于 2025-3-24 16:57:30
persistent passive adversary model. These attacks allow an (honest but curious) adversary (such as the cloud provider) to find the order of the elements in the database and, in some cases, to even . the database itself..In this paper we present two mitigation techniques to make it harder for the ad
Urea508
发表于 2025-3-24 19:02:14
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Connotation
发表于 2025-3-25 02:45:50
Theodor Nasemann,Wolfhard Sauerbreymber of possible applications. It allows outsourcing any kind of computations on encrypted data, and thus without leaking any information to the provider who performs the computations. This is quite useful for many sensitive data (finance, medical, etc.)..Unfortunately, FHE fails at providing some c