Kate Highnam

11 papers A 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Autonomous Network Defence using Reinforcement Learning. CoRR Myles Foley, Chris Hicks, Kate Highnam, Vasilios Mavroudis
2023	—	`conf`	Adaptive Experimental Design for Intrusion Data Collection. CAMLIS Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis, Nicholas R. Jennings
2023	J	`jnl`	Adaptive Experimental Design for Intrusion Data Collection. CoRR Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis, Nicholas R. Jennings
2023	—	`conf`	Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning. AISec@CCS Chris Hicks, Vasilios Mavroudis, Myles Foley, Thomas Davies, Kate Highnam, Tim Watson
2023	J	`jnl`	Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning. CoRR Chris Hicks, Vasilios Mavroudis, Myles Foley, Thomas Davies, Kate Highnam, Tim Watson
2023	J	`jnl`	Gender Equality in Engineering: An Institutional Reflection. IEEE Technol. Soc. Mag. Jeremy Pitt, Kate Highnam
2022	A	`conf`	Autonomous Network Defence using Reinforcement Learning. AsiaCCS Myles Foley, Chris Hicks, Kate Highnam, Vasilios Mavroudis
2021	J	`jnl`	Real-Time Detection of Dictionary DGA Network Traffic Using Deep Learning. SN Comput. Sci. Kate Highnam, Domenic Puzio, Song Luo, Nicholas R. Jennings
2020	J	`jnl`	GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability. CoRR Daniel Lengyel, Janith C. Petangoda, Isak Falk, Kate Highnam, Michalis Lazarou, Arinbjörn Kolbeinsson, Marc Peter Deisenroth, Nicholas R. Jennings
2020	J	`jnl`	Real-Time Detection of Dictionary DGA Network Traffic using Deep Learning. CoRR Kate Highnam, Domenic Puzio, Song Luo, Nicholas R. Jennings
2016	—	`conf`	An Uncrewed Aerial Vehicle Attack Scenario and Trustworthy Repair Architecture. DSN Workshops Kate Highnam, Kevin Angstadt, Kevin Leach, Westley Weimer, Aaron Paulos, Patrick Hurley