Kate Highnam

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 10

Top Topics

Detect Anomalies

Communication Networks

Experimental Designs

Reinforcement Learning

Top Venues

Publications

Chris Hicks, Vasilios Mavroudis, Myles Foley, Thomas Davies, Kate Highnam, Tim Watson
Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning. CoRR (2023)
Jeremy Pitt, Kate Highnam
Gender Equality in Engineering: An Institutional Reflection. IEEE Technol. Soc. Mag. 42 (4) (2023)
Chris Hicks, Vasilios Mavroudis, Myles Foley, Thomas Davies, Kate Highnam, Tim Watson
Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning. AISec@CCS (2023)
Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis, Nicholas R. Jennings
Adaptive Experimental Design for Intrusion Data Collection. CoRR (2023)
Kate Highnam, Zach Hanif, Ellie Van Vogt, Sonali Parbhoo, Sergio Maffeis, Nicholas R. Jennings
Adaptive Experimental Design for Intrusion Data Collection. CAMLIS (2023)
Myles Foley, Chris Hicks, Kate Highnam, Vasilios Mavroudis
Autonomous Network Defence using Reinforcement Learning. AsiaCCS (2022)
Kate Highnam, Domenic Puzio, Song Luo, Nicholas R. Jennings
Real-Time Detection of Dictionary DGA Network Traffic Using Deep Learning. SN Comput. Sci. 2 (2) (2021)
Kate Highnam, Domenic Puzio, Song Luo, Nicholas R. Jennings
Real-Time Detection of Dictionary DGA Network Traffic using Deep Learning. CoRR (2020)
Daniel Lengyel, Janith C. Petangoda, Isak Falk, Kate Highnam, Michalis Lazarou, Arinbjörn Kolbeinsson, Marc Peter Deisenroth, Nicholas R. Jennings
GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability. CoRR (2020)
Kate Highnam, Kevin Angstadt, Kevin Leach, Westley Weimer, Aaron Paulos, Patrick Hurley
An Uncrewed Aerial Vehicle Attack Scenario and Trustworthy Repair Architecture. DSN Workshops (2016)