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2020 – today
- 2024
[c9]Shae McFadden
, Marcello Maugeri, Chris Hicks, Vasilios Mavroudis, Fabio Pierazzi:
WENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL. SP (Workshops) 2024: 68-75- [c8]Sanyam Vyas, Chris Hicks, Vasilios Mavroudis:
Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space. SP (Workshops) 2024: 76-86 - [i15]Stephen Pasteris, Chris Hicks, Vasilios Mavroudis:
Fusion Encoder Networks. CoRR abs/2402.15883 (2024) - [i14]Alberto Caron, Chris Hicks, Vasilios Mavroudis:
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective. CoRR abs/2405.03052 (2024) - [i13]Stephen Pasteris, Chris Hicks, Vasilios Mavroudis, Mark Herbster:
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously. CoRR abs/2405.20824 (2024) - [i12]Sanyam Vyas, Chris Hicks, Vasilios Mavroudis:
Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space. CoRR abs/2407.15168 (2024) - [i11]Mustafa Yasir, Andrew Howes, Vasilios Mavroudis, Chris Hicks:
Environment Complexity and Nash Equilibria in a Sequential Social Dilemma. CoRR abs/2408.02148 (2024) - [i10]Myles Foley, Chris Hicks, Kate Highnam, Vasilios Mavroudis:
Autonomous Network Defence using Reinforcement Learning. CoRR abs/2409.18197 (2024) - 2023
- [c7]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: 91-101 - [c6]Elizabeth Bates, Vasilios Mavroudis, Chris Hicks:
Reward Shaping for Happier Autonomous Cyber Security Agents. AISec@CCS 2023: 221-232 - [c5]Stephen Pasteris, Chris Hicks, Vasilios Mavroudis:
Nearest Neighbour with Bandit Feedback. NeurIPS 2023 - [i9]Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis:
Inroads into Autonomous Network Defence using Explained Reinforcement Learning. CoRR abs/2306.09318 (2023) - [i8]Stephen Pasteris, Chris Hicks, Vasilios Mavroudis:
Nearest Neighbour with Bandit Feedback. CoRR abs/2306.13773 (2023) - [i7]Elizabeth Bates, Vasilios Mavroudis, Chris Hicks:
Reward Shaping for Happier Autonomous Cyber Security Agents. CoRR abs/2310.13565 (2023) - [i6]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 abs/2312.04940 (2023) - [i5]Stephen Pasteris, Chris Hicks, Vasilios Mavroudis:
A Hierarchical Nearest Neighbour Approach to Contextual Bandits. CoRR abs/2312.09332 (2023) - 2022
- [c4]Myles Foley, Chris Hicks, Kate Highnam, Vasilios Mavroudis:
Autonomous Network Defence using Reinforcement Learning. AsiaCCS 2022: 1252-1254 - [c3]Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis:
Inroads into Autonomous Network Defence using Explained Reinforcement Learning. CAMLIS 2022: 1-19 - [c2]Chris Hicks, Vasilios Mavroudis, Jon Crowcroft:
SIMple ID: QR Codes for Authentication Using Basic Mobile Phones in Developing Countries. STM 2022: 3-23 - 2021
- [c1]Vasilios Mavroudis, Chris Hicks, Jon Crowcroft:
An Interface Between Legacy and Modern Mobile Devices for Digital Identity. ETAA 2021: 68-76 - [i4]Vasilios Mavroudis, Chris Hicks, Jon Crowcroft:
An Interface between Legacy and Modern Mobile Devices for Digital Identity. CoRR abs/2112.05566 (2021) - 2020
- [i3]James Bell, David Butler, Chris Hicks, Jon Crowcroft:
TraceSecure: Towards Privacy Preserving Contact Tracing. CoRR abs/2004.04059 (2020) - [i2]Chris Hicks, David Butler, Carsten Maple, Jon Crowcroft:
SecureABC: Secure AntiBody Certificates for COVID-19. CoRR abs/2005.11833 (2020) - [i1]David Butler, Chris Hicks, James Bell, Carsten Maple, Jon Crowcroft:
Differentially Private Health Tokens for Estimating COVID-19 Risk. CoRR abs/2006.14329 (2020)
Coauthor Index
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last updated on 2024-10-18 20:28 CEST by the dblp team
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