Results 21 to 30 of about 114,527 (276)
Although the adversarial principle is specific to the phase of preliminary chamber and the trial phase, there are situations in which this general principle of law is also applicable to the criminal prosecution phase.
Ioan Gliga
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Victims' rights in criminal trials: prospects for participation [PDF]
Victims in common law jurisdictions have traditionally been unable to participate in criminal trials for a number of structural and normative reasons. They are widely perceived as ‘private parties’ whose role should be confined to that of witnesses; and ...
Doak, J
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Improving Heterogeneous Network Knowledge Transfer Based on the Principle of Generative Adversarial [PDF]
Deep learning requires a large amount of datasets to train deep neural network models for specific tasks, and thus training of a new model is a very costly task. Research on transfer networks used to reduce training costs will be the next turning point in deep learning research.
Feifei Lei +5 more
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(Series Information) European Papers - A Journal on Law and Integration, 2017 2(2), 649-669 | Article | (Table of Contents) I. Introduction. - II. The legal framework concerning restrictive measures. - III.
Liisa Leppävirta
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Trustworthy AI Principles to Face Adversarial Machine Learning: A Novel Study
Artificial Intelligence (AI) has witnessed significant advancements in recent years, enabling its widespread adoption across various domains. However, this progress has also given rise to new challenges, particularly in the context of adversarial machine learning.
null CH.E.N. Sai Priya +1 more
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Repercussions of modified procedural roles on determining the facts in criminal proceedings [PDF]
The main characteristic of the new Code of Criminal Procedure, 2011, which is based on adversial principle, is changed position of the main subjects. The public prosecutor gets more active role.
Ilić Ivan
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Generation of Belle II Pixel Detector Background Data with a GAN [PDF]
To match the statistical precision due to the large dataset that Belle II is expected to collect, simulations that accurately describe real data are required.
Srebre Matej +4 more
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Generative Adversarial Networks and Its Applications in Biomedical Informatics
The basic Generative Adversarial Networks (GAN) model is composed of the input vector, generator, and discriminator. Among them, the generator and discriminator are implicit function expressions, usually implemented by deep neural networks. GAN can learn
Lan Lan +7 more
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Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
In this paper, we present a black-box attack against API call based machine learning malware classifiers, focusing on generating adversarial sequences combining API calls and static features (e.g., printable strings) that will be misclassified by the ...
G Tandon +4 more
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Satellite-Aided Consensus Protocol for Scalable Blockchains
In this work, we propose a satellite-aided permissionless consensus protocol for scalable space–terrestrial blockchains. We design its working principle and workflow by taking full advantage of satellites for extensive coverage and ubiquitous ...
Xintong Ling +6 more
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