Zobrazeno 1 - 10
of 1 307
pro vyhledávání: '"Lenders P"'
Autor:
Lenders, Daphne, Oloo, Anne
This paper presents a scoping review of algorithmic fairness research over the past fifteen years, utilising a dataset sourced from Web of Science, HEIN Online, FAccT and AIES proceedings. All articles come from the computer science and legal field a
Externí odkaz:
http://arxiv.org/abs/2408.01448
Autor:
Ayoub, Ibrahim, Lenders, Martine S., Ampeau, Benoît, Balakrichenan, Sandoche, Khawam, Kinda, Schmidt, Thomas C., Wählisch, Matthias
In this paper, we investigate the domain names of servers on the Internet that are accessed by IoT devices performing machine-to-machine communications. Using machine learning, we classify between them and domain names of servers contacted by other t
Externí odkaz:
http://arxiv.org/abs/2404.15068
Autor:
Laguarta, Paloma, van der Laag, Robin, Lopez, Melissa, Dooney, Tom, Miller, Andrew L., Schmidt, Stefano, Cavaglia, Marco, Caudill, Sarah, Driessens, Kurt, Karel, Jöel, Lenders, Roy, Broeck, Chris Van Den
Gravitational-wave (GW) interferometers are able to detect a change in distance of $\sim$ 1/10,000th the size of a proton. Such sensitivity leads to large appearance rates of non-Gaussian transient noise bursts in the main detector strain, also known
Externí odkaz:
http://arxiv.org/abs/2310.03453
Autor:
Zuluaga-Gomez, Juan, Nigmatulina, Iuliia, Prasad, Amrutha, Motlicek, Petr, Khalil, Driss, Madikeri, Srikanth, Tart, Allan, Szoke, Igor, Lenders, Vincent, Rigault, Mickael, Choukri, Khalid
Voice communication between air traffic controllers (ATCos) and pilots is critical for ensuring safe and efficient air traffic control (ATC). This task requires high levels of awareness from ATCos and can be tedious and error-prone. Recent attempts h
Externí odkaz:
http://arxiv.org/abs/2305.01155
Autor:
Krähenbühl, Cyrill, Wyss, Marc, Basin, David, Lenders, Vincent, Perrig, Adrian, Strohmeier, Martin
In its current state, the Internet does not provide end users with transparency and control regarding on-path forwarding devices. In particular, the lack of network device information reduces the trustworthiness of the forwarding path and prevents en
Externí odkaz:
http://arxiv.org/abs/2304.03108
Autor:
Kucharavy, Andrei, Schillaci, Zachary, Maréchal, Loïc, Würsch, Maxime, Dolamic, Ljiljana, Sabonnadiere, Remi, David, Dimitri Percia, Mermoud, Alain, Lenders, Vincent
Generative Language Models gained significant attention in late 2022 / early 2023, notably with the introduction of models refined to act consistently with users' expectations of interactions with AI (conversational models). Arguably the focal point
Externí odkaz:
http://arxiv.org/abs/2303.12132
Autor:
Trocoso-Pastoriza, Juan R., Mermoud, Alain, Bouyé, Romain, Marino, Francesco, Bossuat, Jean-Philippe, Lenders, Vincent, Hubaux, Jean-Pierre
Cyber Threat Intelligence (CTI) sharing is an important activity to reduce information asymmetries between attackers and defenders. However, this activity presents challenges due to the tension between data sharing and confidentiality, that result in
Externí odkaz:
http://arxiv.org/abs/2209.02676
Autor:
Strohmeier, Martin, Leonardi, Mauro, Markochev, Sergei, Ricciato, Fabio, Schäfer, Matthias, Lenders, Vincent
Knowledge about the exact positioning of aircraft is crucial in many settings. Consequently, the opportunistic and independent localization of aircraft based on their communication has been a longstanding problem and subject of much research. Origina
Externí odkaz:
http://arxiv.org/abs/2209.13669
Autor:
Lenders, Martine S., Amsüss, Christian, Gündogan, Cenk, Nawrocki, Marcin, Schmidt, Thomas C., Wählisch, Matthias
Publikováno v:
Proceedings of the ACM on Networking (PACMNET), Vol. 1, CoNEXT2, Article 6 (September 2023), 25 pages
In this paper, we present the design, implementation, and analysis of DNS over CoAP (DoC), a new proposal for secure and privacy-friendly name resolution of constrained IoT devices. We implement different design choices of DoC in RIOT, an open-source
Externí odkaz:
http://arxiv.org/abs/2207.07486
Autor:
Duong, Chi Thang, David, Dimitri Percia, Dolamic, Ljiljana, Mermoud, Alain, Lenders, Vincent, Aberer, Karl
Mapping the technology landscape is crucial for market actors to take informed investment decisions. However, given the large amount of data on the Web and its subsequent information overload, manually retrieving information is a seemingly ineffectiv
Externí odkaz:
http://arxiv.org/abs/2112.04810