An Uncrewed Aerial Vehicle Attack Scenario and Trustworthy Repair Architecture. - Kate Highnam; Kevin Angstadt; Kevin Leach; Westley Weimer; Aaron Paulos; Patrick Hurley (DSN Workshops, 2016)

GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability. - Daniel Lengyel; Janith C. Petangoda; Isak Falk; Kate Highnam; Michalis Lazarou; Arinbjörn Kolbeinsson; Marc Peter Deisenroth; Nicholas R. Jennings (CoRR, 2020)

Real-Time Detection of Dictionary DGA Network Traffic Using Deep Learning. - Kate Highnam; Domenic Puzio; Song Luo; Nicholas R. Jennings (SN Comput. Sci., 2021)

Autonomous Network Defence using Reinforcement Learning. - Myles Foley; Chris Hicks; Kate Highnam; Vasilios Mavroudis (AsiaCCS, 2022)

Adaptive Experimental Design for Intrusion Data Collection. - Kate Highnam; Zach Hanif; Ellie Van Vogt; Sonali Parbhoo; Sergio Maffeis; Nicholas R. Jennings (CAMLIS, 2023)

Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning. - Chris Hicks; Vasilios Mavroudis; Myles Foley; Thomas Davies 001; Kate Highnam; Tim Watson (AISec@CCS, 2023)

Gender Equality in Engineering: An Institutional Reflection. - Jeremy Pitt; Kate Highnam (IEEE Technol. Soc. Mag., 2023)