TraceSecure: Towards Privacy Preserving Contact Tracing. - James Bell 001; David Butler 002; Chris Hicks; Jon Crowcroft (CoRR, 2020)

SecureABC: Secure AntiBody Certificates for COVID-19. - Chris Hicks; David Butler 002; Carsten Maple; Jon Crowcroft (CoRR, 2020)

Differentially Private Health Tokens for Estimating COVID-19 Risk. - David Butler 002; Chris Hicks; James Bell 001; Carsten Maple; Jon Crowcroft (CoRR, 2020)

An Interface Between Legacy and Modern Mobile Devices for Digital Identity. - Vasilios Mavroudis; Chris Hicks; Jon Crowcroft (ETAA, 2021)

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

Inroads into Autonomous Network Defence using Explained Reinforcement Learning. - Myles Foley; Mia Wang; Zoe M; Chris Hicks; Vasilios Mavroudis (CAMLIS, 2022)

SIMple ID: QR Codes for Authentication Using Basic Mobile Phones in Developing Countries. - Chris Hicks; Vasilios Mavroudis; Jon Crowcroft (STM, 2022)

Reward Shaping for Happier Autonomous Cyber Security Agents. - Elizabeth Bates; Vasilios Mavroudis; Chris Hicks (AISec@CCS, 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)

Nearest Neighbour with Bandit Feedback. - Stephen Pasteris; Chris Hicks; Vasilios Mavroudis (NeurIPS, 2023)

A Hierarchical Nearest Neighbour Approach to Contextual Bandits. - Stephen Pasteris; Chris Hicks; Vasilios Mavroudis (CoRR, 2023)

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems. - Benjamin Kolicic; Alberto Caron; Vasilios Mavroudis; Chris Hicks (ACSAC Workshops, 2024)

Entity-based Reinforcement Learning for Autonomous Cyber Defence. - Isaac Symes Thompson; Alberto Caron; Chris Hicks; Vasilios Mavroudis (AutonomousCyber@CCS, 2024)

Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously. - Stephen Pasteris; Chris Hicks; Vasilios Mavroudis; Mark Herbster (NeurIPS, 2024)

WENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL. - Shae McFadden; Marcello Maugeri; Chris Hicks; Vasilios Mavroudis; Fabio Pierazzi (SP (Workshops), 2024)

Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space. - Sanyam Vyas; Chris Hicks; Vasilios Mavroudis (SP (Workshops), 2024)

Fusion Encoder Networks. - Stephen Pasteris; Chris Hicks; Vasilios Mavroudis (CoRR, 2024)

A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective. - Alberto Caron; Chris Hicks; Vasilios Mavroudis (CoRR, 2024)

Environment Complexity and Nash Equilibria in a Sequential Social Dilemma. - Mustafa Yasir; Andrew Howes 001; Vasilios Mavroudis; Chris Hicks (CoRR, 2024)

CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents. - Harry Emerson; Liz Bates; Chris Hicks; Vasilios Mavroudis (CoRR, 2024)

Benchmarking OpenAI o1 in Cyber Security. - Dan Ristea; Vasilios Mavroudis; Chris Hicks (CoRR, 2024)

Fair Exploration and Exploitation. - Stephen Pasteris; Chris Hicks; Vasilios Mavroudis (CoRR, 2024)

SoK: On Closing the Applicability Gap in Automated Vulnerability Detection. - Ezzeldin Shereen; Dan Ristea; Sanyam Vyas; Shae McFadden; Madeleine Dwyer; Chris Hicks; Vasilios Mavroudis (CoRR, 2024)

On Efficient Bayesian Exploration in Model-Based Reinforcement Learning. - Alberto Caron; Vasilios Mavroudis; Chris Hicks (Trans. Mach. Learn. Res., 2025)

Less is more? Rewards in RL for Cyber Defence. - Elizabeth Bates; Chris Hicks; Vasilios Mavroudis (CoRR, 2025)

Towards Causal Model-Based Policy Optimization. - Alberto Caron; Vasilios Mavroudis; Chris Hicks (CoRR, 2025)

One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image. - Ezzeldin Shereen; Dan Ristea; Burak Hasircioglu; Shae McFadden; Vasilios Mavroudis; Chris Hicks (CoRR, 2025)

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs. - Alsharif Abuadbba; Chris Hicks; Kristen Moore; Vasilios Mavroudis; Burak Hasircioglu; Diksha Goel; Piers Jennings (CoRR, 2025)

Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning. - Sanyam Vyas; Alberto Caron; Chris Hicks; Pete Burnap; Vasilios Mavroudis (CoRR, 2025)