Zobrazeno 1 - 10
of 8 458
pro vyhledávání: '"Márton, P."'
Control-flow leakage (CFL) attacks enable an attacker to expose control-flow decisions of a victim program via side-channel observations. Linearization (i.e., elimination) of secret-dependent control flow is the main countermeasure against these atta
Externí odkaz:
http://arxiv.org/abs/2409.03743
Outlier detection is a crucial analytical tool in various fields. In critical systems like manufacturing, malfunctioning outlier detection can be costly and safety-critical. Therefore, there is a significant need for explainable artificial intelligen
Externí odkaz:
http://arxiv.org/abs/2409.01713
We study stationary epidemic processes in scale-free networks with local awareness behavior adopted by only susceptible, only infected, or all nodes. We find that while the epidemic size in the susceptible-aware and the all-aware scenarios scales lin
Externí odkaz:
http://arxiv.org/abs/2409.01384
Autor:
Borsi, Márton, Pozsgay, Balázs
We consider spin chain models with exotic symmetries that change the length of the spin chain. It is known that the XXZ Heisenberg spin chain at the supersymmetric point $\Delta=-1/2$ possesses such a symmetry: it is given by the supersymmetry genera
Externí odkaz:
http://arxiv.org/abs/2408.15659
We investigate the nonequilibrium dynamics of the magnetization in an Ising chain subjected to a slowly rotating transverse field. The magnetization oscillations are found to be explained by the contributions from different particle excitations in th
Externí odkaz:
http://arxiv.org/abs/2408.13725
We study how many comparability subgraphs are needed to partition the edge set of a perfect graph. We show that many classes of perfect graphs can be partitioned into (at most) two comparability subgraphs and this holds for almost all perfect graphs.
Externí odkaz:
http://arxiv.org/abs/2408.13523
Phonocardiography has recently gained popularity in low-cost and remote monitoring, including passive fetal heart monitoring. Development for methods which analyse phonocardiographical data try to capitalize on this opportunity, and in recent years a
Externí odkaz:
http://arxiv.org/abs/2408.12966
Autor:
Marton, Sascha, Grams, Tim, Vogt, Florian, Lüdtke, Stefan, Bartelt, Christian, Stuckenschmidt, Heiner
Reinforcement learning (RL) has seen significant success across various domains, but its adoption is often limited by the black-box nature of neural network policies, making them difficult to interpret. In contrast, symbolic policies allow representi
Externí odkaz:
http://arxiv.org/abs/2408.08761
Autor:
Márton, Áron, Asbóth, János K.
Logical qubits can be protected against environmental noise by encoding them into a highly entangled state of many physical qubits and actively intervening in the dynamics with stabilizer measurements. In this work, we numerically optimize the rate o
Externí odkaz:
http://arxiv.org/abs/2408.07529
Poverty map inference is a critical area of research, with growing interest in both traditional and modern techniques, ranging from regression models to convolutional neural networks applied to tabular data, images, and networks. Despite extensive fo
Externí odkaz:
http://arxiv.org/abs/2408.01631