Zobrazeno 1 - 10
of 2 547
pro vyhledávání: '"Å Hammar"'
Using individual-level data from Gallup World Poll and the Levada Center, we provide an in-depth analysis of how Russia's invasion of Ukraine has affected sentiments in the Russian population. Our results show that after the invasion, a larger share
Externí odkaz:
http://arxiv.org/abs/2410.00663
Autor:
Kristine Sirevåg, S. H. Stavestrand, T. Sjøbø, T. B. Endal, H. M. Nordahl, E. Andersson, I. H. Nordhus, Å Rekdal, K. Specht, Å Hammar, A. Halmøy, J. Mohlman, H. Hjelmervik, J. F. Thayer, A. Hovland
Publikováno v:
BioPsychoSocial Medicine, Vol 17, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/3c6b7381669d496cbf455517a574b3a6
The CAGE-2 challenge is considered a standard benchmark to compare methods for autonomous cyber defense. Current state-of-the-art methods evaluated against this benchmark are based on model-free (offline) reinforcement learning, which does not provid
Externí odkaz:
http://arxiv.org/abs/2407.11070
Autor:
Hammar, Kim, Stadler, Rolf
We formulate intrusion tolerance for a system with service replicas as a two-level optimal control problem. On the local level node controllers perform intrusion recovery, and on the global level a system controller manages the replication factor. Th
Externí odkaz:
http://arxiv.org/abs/2404.01741
Asymmetric information stochastic games (AISGs) arise in many complex socio-technical systems, such as cyber-physical systems and IT infrastructures. Existing computational methods for AISGs are primarily offline and can not adapt to equilibrium devi
Externí odkaz:
http://arxiv.org/abs/2402.18781
We study automated security response for an IT infrastructure and formulate the interaction between an attacker and a defender as a partially observed, non-stationary game. We relax the standard assumption that the game model is correctly specified a
Externí odkaz:
http://arxiv.org/abs/2402.12499
Autor:
Memarian, Fereshteh L., Hammar, Derek, Sabbir, Md Mainul Hasan, Elias, Mark, Mitchell, Kevin A., Hirst, Linda
This work examines self-mixing in active nematics, a class of fluids in which mobile topological defects drive chaotic flows in a system comprised of biological filaments and molecular motors. We present experiments that demonstrate how geometrical c
Externí odkaz:
http://arxiv.org/abs/2401.04363
Autor:
Hammar, Kim, Stadler, Rolf
Publikováno v:
International Conference of Decision and Game Theory for Security (GameSec) 2023, pp 172-192
We study automated intrusion response for an IT infrastructure and formulate the interaction between an attacker and a defender as a partially observed stochastic game. To solve the game we follow an approach where attack and defense strategies co-ev
Externí odkaz:
http://arxiv.org/abs/2309.03292
Autor:
Hammar, Kim, Dhir, Neil
We consider the problem of optimising an expensive-to-evaluate grey-box objective function, within a finite budget, where known side-information exists in the form of the causal structure between the design variables. Standard black-box optimisation
Externí odkaz:
http://arxiv.org/abs/2309.02287
Autor:
Lange, Moritz, Havström, Pontus, Srivastava, Basudha, Bergentall, Valdemar, Hammar, Karl, Heuts, Olivia, van Nieuwenburg, Evert, Granath, Mats
To leverage the full potential of quantum error-correcting stabilizer codes it is crucial to have an efficient and accurate decoder. Accurate, maximum likelihood, decoders are computationally very expensive whereas decoders based on more efficient al
Externí odkaz:
http://arxiv.org/abs/2307.01241