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Akademický článek
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Autor:
Capozziello, Salvatore, Shokri, Mehdi
We study slow-roll inflation as a common feature in Metric-affine Theories of Gravity. In particular, we take into account extended metric, teleparallel and symmetric-teleparallel theories of gravity, based on different geometric invariants, discussi
Externí odkaz:
http://arxiv.org/abs/2408.17415
Autor:
Tao, Jiashu, Shokri, Reza
Machine learning models can leak private information about their training data, but the standard methods to measure this risk, based on membership inference attacks (MIAs), have a major limitation. They only check if a given data point \textit{exactl
Externí odkaz:
http://arxiv.org/abs/2408.05131
The differential rotation plays a crucial role in the dynamics of the Sun. We study the solar rotation and its correlation with solar activity by applying a modified machine learning algorithm to identify and track coronal bright points (CBPs) from t
Externí odkaz:
http://arxiv.org/abs/2407.17594
Watermarking is a technique used to embed a hidden signal in the probability distribution of text generated by large language models (LLMs), enabling attribution of the text to the originating model. We introduce smoothing attacks and show that exist
Externí odkaz:
http://arxiv.org/abs/2407.14206
The principle of data minimization aims to reduce the amount of data collected, processed or retained to minimize the potential for misuse, unauthorized access, or data breaches. Rooted in privacy-by-design principles, data minimization has been endo
Externí odkaz:
http://arxiv.org/abs/2405.19471
We consider inflation with a constant rate of rolling in which a complex scalar field plays the role of inflaton during the inflationary epoch. We implement the inflationary analysis for an accredited angular speed $\dot{\theta}$ which satisfies our
Externí odkaz:
http://arxiv.org/abs/2405.08928
Machine Learning (ML) algorithms are generally designed for scenarios in which all data is stored in one data center, where the training is performed. However, in many applications, e.g., in the healthcare domain, the training data is distributed amo
Externí odkaz:
http://arxiv.org/abs/2405.05611
We show that, in ideal-spin hydrodynamics, the components of the spin tensor follow damped wave equations. The damping rate is related to nonlocal collisions of the particles in the fluid, which enter at first order in $\hbar$ in a semi-classical exp
Externí odkaz:
http://arxiv.org/abs/2405.00533
Akademický článek
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