Zobrazeno 1 - 10
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pro vyhledávání: '"Hicks, A A"'
In this paper we consider the contextual bandit problem with a finite (or infinite and clustered) context set. We consider the fully adversarial problem in which, apart from having bounded losses, there are no assumptions whatsoever on the generation
Externí odkaz:
http://arxiv.org/abs/2411.04295
We evaluate OpenAI's o1-preview and o1-mini models, benchmarking their performance against the earlier GPT-4o model. Our evaluation focuses on their ability to detect vulnerabilities in real-world software by generating structured inputs that trigger
Externí odkaz:
http://arxiv.org/abs/2410.21939
A significant challenge for autonomous cyber defence is ensuring a defensive agent's ability to generalise across diverse network topologies and configurations. This capability is necessary for agents to remain effective when deployed in dynamically
Externí odkaz:
http://arxiv.org/abs/2410.17647
CybORG++ is an advanced toolkit for reinforcement learning research focused on network defence. Building on the CAGE 2 CybORG environment, it introduces key improvements, including enhanced debugging capabilities, refined agent implementation support
Externí odkaz:
http://arxiv.org/abs/2410.16324
Autor:
Cook, Owen, Grimshaw, Charlie, Wu, Ben, Dillon, Sophie, Hicks, Jack, Jones, Luke, Smith, Thomas, Szert, Matyas, Song, Xingyi
Misinformation spreads rapidly on social media, confusing the truth and targetting potentially vulnerable people. To effectively mitigate the negative impact of misinformation, it must first be accurately detected before applying a mitigation strateg
Externí odkaz:
http://arxiv.org/abs/2410.14515
Open-ended coding tasks, which ask students to construct programs according to certain specifications, are common in computer science education. Student modeling can be challenging since their open-ended nature means that student code can be diverse.
Externí odkaz:
http://arxiv.org/abs/2410.10829
Publikováno v:
ASIA CCS '22: Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security
In the network security arms race, the defender is significantly disadvantaged as they need to successfully detect and counter every malicious attack. In contrast, the attacker needs to succeed only once. To level the playing field, we investigate th
Externí odkaz:
http://arxiv.org/abs/2409.18197
Autor:
Roshani, Mohammad Amin, Zhou, Xiangyu, Qiang, Yao, Suresh, Srinivasan, Hicks, Steve, Sethuraman, Usha, Zhu, Dongxiao
Large language models (LLMs) have shown remarkable capabilities in various natural language tasks and are increasingly being applied in healthcare domains. This work demonstrates a new LLM-powered disease risk assessment approach via streaming human-
Externí odkaz:
http://arxiv.org/abs/2409.15027
Autor:
Zhang, Lulu, García-Bernete, Ismael, Packham, Chris, Donnan, Fergus R., Rigopoulou, Dimitra, Hicks, Erin K. S., Davies, Ric I., Shimizu, Taro T., Alonso-Herrero, Almudena, Almeida, Cristina Ramos, Pereira-Santaella, Miguel, Ricci, Claudio, Bunker, Andrew J., Leist, Mason T., Rosario, David J., García-Burillo, Santiago, Muñoz, Laura Hermosa, Combes, Francoise, Imanishi, Masatoshi, Labiano, Alvaro, Esparza-Arredondo, Donaji, Bellocchi, Enrica, Audibert, Anelise, Fuller, Lindsay, González-Martín, Omaira, Hönig, Sebastian, Izumi, Takuma, Levenson, Nancy A., López-Rodríguez, Enrique, Rouan, Daniel, Stalevski, Marko, Ward, Martin J.
We analyze JWST MIRI/MRS IFU observations of three Seyferts and showcase the intriguing polycyclic aromatic hydrocarbon (PAH) emission characteristics in regions of $\sim 500\,\rm pc$ scales over or around their active galactic nuclei (AGN). Combinin
Externí odkaz:
http://arxiv.org/abs/2409.09772
Autor:
Zhang, Lulu, Packham, Chris, Hicks, Erin K. S., Davies, Ric I., Shimizu, Taro T., Alonso-Herrero, Almudena, Muñoz, Laura Hermosa, García-Bernete, Ismael, Pereira-Santaella, Miguel, Audibert, Anelise, López-Rodríguez, Enrique, Bellocch, Enrica, Bunker, Andrew J., Combes, Francoise, Díaz-Santos, Tanio, Gandhi, Poshak, García-Burillo, Santiago, García-Lorenzo, Begoña, González-Martín, Omaira, Imanishi, Masatoshi, Labiano, Alvaro, Leist, Mason T., Levenson, Nancy A., Almeida, Cristina Ramos, Ricci, Claudio, Rigopoulou, Dimitra, Rosario, David J., Stalevski, Marko, Ward, Martin J., Esparza-Arredondo, Donaji, Delaney, Dan, Fuller, Lindsay, Haidar, Houda, Hönig, Sebastian, Izumi, Takuma, Rouan, Daniel
Utilizing JWST MIRI/MRS IFU observations of the kiloparsec scale central regions, we showcase the diversity of ionized gas distributions and kinematics in six nearby Seyfert galaxies included in the GATOS survey. Specifically, we present spatially re
Externí odkaz:
http://arxiv.org/abs/2409.09771