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pro vyhledávání: '"Lindorfer A"'
Machine Learning and AI have the potential to transform data-driven scientific discovery, enabling accurate predictions for several scientific phenomena. As many scientific questions are inherently causal, this paper looks at the causal inference tas
Externí odkaz:
http://arxiv.org/abs/2405.17151
Internet-of-Things (IoT) devices, ranging from smart home assistants to health devices, are pervasive: Forecasts estimate their number to reach 29 billion by 2030. Understanding the security of their machine-to-machine communication is crucial. Prior
Externí odkaz:
http://arxiv.org/abs/2405.09662
We prove that on any transitive graph $G$ with infinitely many ends, a self-avoiding walk of length $n$ is ballistic with extremely high probability, in the sense that there exist constants $c,t>0$ such that $\mathbb{P}_n(d_G(w_0,w_n)\geq cn)\geq 1-e
Externí odkaz:
http://arxiv.org/abs/2403.13121
Which polyominoes can be folded into a cube, using only creases along edges of the square lattice underlying the polyomino, with fold angles of $\pm 90^\circ$ and $\pm 180^\circ$, and allowing faces of the cube to be covered multiple times? Prior res
Externí odkaz:
http://arxiv.org/abs/2402.14965
Autor:
Kurt, Schlacher, Martin, Lindorfer
Flatness of discrete-time systems can be characterized by two simple properties. There exists a map, a submersion, from the flat coordinates and their forward shifts to the state and the input of the discrete-time system, such that the system equatio
Externí odkaz:
http://arxiv.org/abs/2303.05158
Autor:
Pradeep, Amogh, Feal, Álvaro, Gamba, Julien, Rao, Ashwin, Lindorfer, Martina, Vallina-Rodriguez, Narseo, Choffnes, David
The transparency and privacy behavior of mobile browsers has remained widely unexplored by the research community. In fact, as opposed to regular Android apps, mobile browsers may present contradicting privacy behaviors. On the one end, they can have
Externí odkaz:
http://arxiv.org/abs/2212.03615
Autor:
Hageman, Kaspar, Feal, Álvaro, Gamba, Julien, Girish, Aniketh, Bleier, Jakob, Lindorfer, Martina, Tapiador, Juan, Vallina-Rodriguez, Narseo
The ability to identify the author responsible for a given software object is critical for many research studies and for enhancing software transparency and accountability. However, as opposed to other application markets like iOS, attribution in the
Externí odkaz:
http://arxiv.org/abs/2211.13104
Researchers and practitioners often face the issue of having to attribute an IP address to an organization. For current data this is comparably easy, using services like whois or other databases. Similarly, for historic data, several entities like th
Externí odkaz:
http://arxiv.org/abs/2211.06537
Autor:
Zeilerbauer, Lukas, Fischer, Jörg, Fazeni-Fraisl, Karin, Mager, Moritz, Lindorfer, Johannes, Paulik, Christian
Publikováno v:
In Resources, Conservation & Recycling October 2024 209
Autor:
Fiebig, Tobias, Gürses, Seda, Gañán, Carlos H., Kotkamp, Erna, Kuipers, Fernando, Lindorfer, Martina, Prisse, Menghua, Sari, Taritha
Publikováno v:
In Proceedings on Privacy Enhancing Technologies Symposium, 2023(2). 2023
With the emergence of remote education and work in universities due to COVID-19, the `zoomification' of higher education, i.e., the migration of universities to the clouds, reached the public discourse. Ongoing discussions reason about how this shift
Externí odkaz:
http://arxiv.org/abs/2104.09462