activity
20232026
most citedTopic Modelling: Going Beyond Token Outputs

12 citations · 15 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CR2026

Empowering IoT Security: On-Device Intrusion Detection in Resource Constrained Devices

Vasilis Ieropoulos, Eirini Anthi, Theodoros Spyridopoulos +3

IoT devices particularly microcontrollers are challenged by their inherent limitations in processing capabilities, memory capacity, and energy conservation. Securing communication…

cs.LG2025

Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning

Sanyam Vyas, Alberto Caron, Chris Hicks +2

Deep Reinforcement Learning (DRL) systems are increasingly used in safety-critical applications, yet their security remains severely underexplored. This work investigates backdoor…

cs.CR2025

Consistent and Compatible Modelling of Cyber Intrusions and Incident Response Demonstrated in the Context of Malware Attacks on Critical Infrastructure

Peter Maynard, Yulia Cherdantseva, Avi Shaked +2

Cyber Security Incident Response (IR) Playbooks are used to capture the steps required to recover from a cyber intrusion. Individual IR playbooks should focus on a specific type of…

cs.CY20242 cited

A Scalable and Automated Framework for Tracking the likely Adoption of Emerging Technologies

Lowri Williams, Eirini Anthi, Pete Burnap

While new technologies are expected to revolutionise and become game-changers in improving the efficiencies and practises of our daily lives, it is also critical to investigate and…

cs.CL202412 cited

Topic Modelling: Going Beyond Token Outputs

Lowri Williams, Eirini Anthi, Laura Arman +1

Topic modelling is a text mining technique for identifying salient themes from a number of documents. The output is commonly a set of topics consisting of isolated tokens that ofte…

cs.CR20231 cited

Enhancing Enterprise Network Security: Comparing Machine-Level and Process-Level Analysis for Dynamic Malware Detection

Baskoro Adi Pratomo, Toby Jackson, Pete Burnap +2

Analysing malware is important to understand how malicious software works and to develop appropriate detection and prevention methods. Dynamic analysis can overcome evasion techniq…