Cytokines
发表于 2025-3-23 10:15:27
Finding Extremal Points of Motionzed to merely signature-based verification. Moreover, a dedicated incentive mechanism is proposed to motivate high accountability of validation participants. . is platform-friendly that can be compatible with most real-world applications. We fully implement . for Gmail, Twitter and Dropbox to show i
Anticonvulsants
发表于 2025-3-23 14:52:00
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乏味
发表于 2025-3-23 20:23:57
Differential Equations and Reaction Kinetics maliciously and deviates from the rational behavior..In this paper, we propose an attack-resilient and practical blockchain-based solution for timed data release in a mixed adversarial environment, where both malicious adversaries and rational adversaries exist. The proposed mechanism incorporates
自由职业者
发表于 2025-3-24 01:40:57
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anchor
发表于 2025-3-24 03:59:34
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FELON
发表于 2025-3-24 08:00:24
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compel
发表于 2025-3-24 12:59:12
Assessing Differentially Private Variational Autoencoders Under Membership Inferences previous work in two aspects. First, we evaluate the strong reconstruction MI attack against Variational Autoencoders under differential privacy. Second, we address the data scientist’s challenge of setting privacy parameter ., which steers the differential privacy strength and thus also the priva
MOAT
发表于 2025-3-24 18:27:08
Utility and Privacy Assessment of Synthetic Microbiome Dataation about our diet, exercise habits and general well-being, and are useful for investigations on the prediction and therapy of diseases. On the other hand, these variations allow for microbiome-based identification of individuals, thus posing privacy risks in microbiome studies. Synthetic microbio
善变
发表于 2025-3-24 19:36:41
Combining Defences Against Data-Poisoning Based Backdoor Attacks on Neural Networksion. Because of their importance, they can become the target of various attacks. In a data poisoning attack, the attacker carefully manipulates some input data, e.g. by superimposing a pattern, e.g. to insert a backdoor (a wrong association of the specific pattern to a desired target) into the model
Rct393
发表于 2025-3-25 00:03:33
MCoM: A Semi-Supervised Method for Imbalanced Tabular Security Dataata problem in tabular security data sets. Tabular data sets in cybersecurity domains are widely known to pose challenges for machine learning because of their heavily imbalanced data (e.g., a small number of labeled attack samples buried in a sea of mostly benign, unlabeled data). Semi-supervised l