Zobrazeno 1 - 10
of 4 619
pro vyhledávání: '"Shokri P"'
Autor:
Shokri, Mehdi
The Bekenstein bound, inspired by the physics of black holes, is introduced to constrain the entropy growth of a physical system down to the quantum level in the context of a generalized second law of thermodynamics. We first show that the standard B
Externí odkaz:
http://arxiv.org/abs/2411.00694
Autor:
Shokri, Sanaz, Ceccardi, Michele, Confalone, Tommaso, Saggau, Christian N., Lee, Yejin, Martini, Mickey, Gu, Genda, Vinokur, Valerii M., Pallecchi, Ilaria, Nielsch, Kornelius, Caglieris, Federico, Poccia, Nicola
Publikováno v:
Advanced Electronic Materials manuscript, 2024, aelm.202400496R1
Thermoelectric transport has been widely used to study Abrikosov vortex dynamics in unconventional superconductors. However, only a few thermoelectric studies have been conducted near the dimensional crossover that occurs when the vortex-vortex inter
Externí odkaz:
http://arxiv.org/abs/2409.17712
Prior Membership Inference Attacks (MIAs) on pre-trained Large Language Models (LLMs), adapted from classification model attacks, fail due to ignoring the generative process of LLMs across token sequences. In this paper, we present a novel attack tha
Externí odkaz:
http://arxiv.org/abs/2409.13745
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
Publikováno v:
Future Generation Computer Systems, Volume 161, 2024, Pages 625-637
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