A Robust Solution to Multi-modal Image Registration by Combining Mutual Information with Multi-scale Derivatives. - Philip A. Legg; Paul L. Rosin; A. David Marshall; James E. Morgan (MICCAI (1), 2009)

From Video to Animated 3D Reconstruction: A Computer Graphics Application for Snooker Skills Training. - Philip A. Legg; Matthew L. Parry; David H. S. Chung; Richard M. Jiang 001; Adrian Morris; Iwan W. Griffiths; A. David Marshall; Min Chen 001 (Eurographics (Posters), 2011)

Intelligent filtering by semantic importance for single-view 3D reconstruction from Snooker video. - Philip A. Legg; Matthew L. Parry; David H. S. Chung; Richard M. Jiang 001; Adrian Morris; Iwan W. Griffiths; A. David Marshall; Min Chen 001 (ICIP, 2011)

Hierarchical Event Selection for Video Storyboards with a Case Study on Snooker Video Visualization. - Matthew L. Parry; Philip A. Legg; David H. S. Chung; Iwan W. Griffiths; Min Chen 001 (IEEE Trans. Vis. Comput. Graph., 2011)

MatchPad: Interactive Glyph-Based Visualization for Real-Time Sports Performance Analysis. - Philip A. Legg; David H. S. Chung; Matthew L. Parry; Mark W. Jones 001; R. Long; Iwan W. Griffiths; Min Chen 001 (Comput. Graph. Forum, 2012)

Visualizing multiple error-sensitivity fields for single camera positioning. - David H. S. Chung; Matthew L. Parry; Philip A. Legg; Iwan W. Griffiths; Robert S. Laramee; Min Chen 001 (Comput. Vis. Sci., 2012)

Video Visualization. - Rita Borgo; Min Chen 001; Markus Höferlin; Kuno Kurzhals; Philip A. Legg; Simon J. Walton; Daniel Weiskopf (Eurographics (Tutorials), 2013)

Force-Directed Parallel Coordinates. - Rick Walker; Philip A. Legg; Serban R. Pop; Zhao Geng; Robert S. Laramee; Jonathan C. Roberts (IV, 2013)

Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation. - Philip A. Legg; Paul L. Rosin; A. David Marshall; James E. Morgan (Comput. Medical Imaging Graph., 2013)

Towards a Conceptual Model and Reasoning Structure for Insider Threat Detection. - Philip A. Legg; Nick Moffat; Jason R. C. Nurse; Jassim Happa; Ioannis Agrafiotis; Michael Goldsmith; Sadie Creese (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2013)

Automated 3-D Animation From Snooker Videos With Information-Theoretical Optimization. - Richard Jiang 001; Matthew L. Parry; Philip A. Legg; David H. S. Chung; Iwan W. Griffiths (IEEE Trans. Comput. Intell. AI Games, 2013)

Transformation of an Uncertain Video Search Pipeline to a Sketch-Based Visual Analytics Loop. - Philip A. Legg; David H. S. Chung; Matthew L. Parry; Rhodri Bown; Mark W. Jones 001; Iwan W. Griffiths; Min Chen 001 (IEEE Trans. Vis. Comput. Graph., 2013)

A Critical Reflection on the Threat from Human Insiders - Its Nature, Industry Perceptions, and Detection Approaches. - Jason R. C. Nurse; Philip A. Legg; Oliver Buckley; Ioannis Agrafiotis; Gordon R. T. Wright; Monica T. Whitty; David Upton; Michael Goldsmith; Sadie Creese (HCI (24), 2014)

Understanding Insider Threat: A Framework for Characterising Attacks. - Jason R. C. Nurse; Oliver Buckley; Philip A. Legg; Michael Goldsmith; Sadie Creese; Gordon R. T. Wright; Monica T. Whitty (IEEE Symposium on Security and Privacy Workshops, 2014)

Reflecting on the Ability of Enterprise Security Policy to Address Accidental Insider Threat. - Oliver Buckley; Jason R. C. Nurse; Philip A. Legg; Michael Goldsmith; Sadie Creese (STAST, 2014)

Towards a User and Role-based Sequential Behavioural Analysis Tool for Insider Threat Detection. - Ioannis Agrafiotis; Philip A. Legg; Michael Goldsmith; Sadie Creese (J. Internet Serv. Inf. Secur., 2014)

Visual Analytics of E-mail Sociolinguistics for User Behavioural Analysis. - Philip A. Legg; Oliver Buckley; Michael Goldsmith; Sadie Creese (J. Internet Serv. Inf. Secur., 2014)

Guest Editorial: Emerging Trends in Research for Insider Threat Detection. - William R. Claycomb; Philip A. Legg; Dieter Gollmann (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2014)

Using Internet Activity Profiling for Insider-threat Detection. - Bushra A. AlAhmadi; Philip A. Legg; Jason R. C. Nurse (ICEIS (2), 2015)

Visualizing the insider threat: challenges and tools for identifying malicious user activity. - Philip A. Legg (VizSEC, 2015)

Glyph sorting: Interactive visualization for multi-dimensional data. - David H. S. Chung; Philip A. Legg; Matthew L. Parry; Rhodri Bown; Iwan W. Griffiths; Robert S. Laramee; Min Chen 001 (Inf. Vis., 2015)

Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging. - Philip A. Legg; Paul L. Rosin; A. David Marshall; James E. Morgan (Pattern Recognit., 2015)

Enhancing cyber situation awareness for Non-Expert Users using visual analytics. - Philip A. Legg (CyberSA, 2016)

Knowledge-Assisted Ranking: A Visual Analytic Application for Sports Event Data. - David H. S. Chung; Matthew L. Parry; Iwan W. Griffiths; Robert S. Laramee; Rhodri Bown; Philip A. Legg; Min Chen 001 (IEEE Computer Graphics and Applications, 2016)

Visual Analytics for Non-Expert Users in Cyber Situation Awareness. - Philip A. Legg (Int. J. Cyber Situational Aware., 2016)

RicherPicture: Semi-automated cyber defence using context-aware data analytics. - Arnau Erola; Ioannis Agrafiotis; Jassim Happa; Michael Goldsmith; Sadie Creese; Philip A. Legg (CyberSA, 2017)

Predicting the Occurrence of World News Events Using Recurrent Neural Networks and Auto-Regressive Moving Average Models. - Emmanuel M. Smith; Jim Smith; Phil Legg; Simon Francis (UKCI, 2017)

Glyph Visualization: A Fail-Safe Design Scheme Based on Quasi-Hamming Distances. - Philip A. Legg; Eamonn Maguire; Simon J. Walton; Min Chen 001 (IEEE Computer Graphics and Applications, 2017)

Automated Insider Threat Detection System Using User and Role-Based Profile Assessment. - Philip A. Legg; Oliver Buckley; Michael Goldsmith; Sadie Creese (IEEE Syst. J., 2017)

Predicting User Confidence During Visual Decision Making. - Jim Smith 002; Phil Legg; Milos Matovic; Kristofer Kinsey (ACM Trans. Interact. Intell. Syst., 2018)

What Makes for Effective Visualisation in Cyber Situational Awareness for Non-Expert Users? - Fiona Carroll; Adam Chakof; Phil Legg (CyberSA, 2019)

Tools and Techniques for Improving Cyber Situational Awareness of Targeted Phishing Attacks. - Phil Legg; Tim Blackman (CyberSA, 2019)

Efficient and Interpretable Real-Time Malware Detection Using Random-Forest. - Alan Mills; Theodoros Spyridopoulos; Phil Legg (CyberSA, 2019)

Visual analytics for collaborative human-machine confidence in human-centric active learning tasks. - Phil Legg; Jim Smith; Alexander Downing (Hum. centric Comput. Inf. Sci., 2019)

Correction to: Visual analytics for collaborative human-machine confidence in human-centric active learning tasks. - Phil Legg; Jim Smith; Alexander Downing (Hum. centric Comput. Inf. Sci., 2019)

The Visual Design of Network Data to Enhance Cyber Security Awareness of the Everyday Internet User. - Fiona Carroll; Phil Legg; Bastian Bønkel (CyberSA, 2020)

Shouting Through Letterboxes: A study on attack susceptibility of voice assistants. - Andrew McCarthy; Benedict R. Gaster; Phil Legg (Cyber Security, 2020)

"What did you say?": Extracting unintentional secrets from predictive text learning systems. - Gwyn Wilkinson; Phil Legg (Cyber Security, 2020)

Venue2Vec: An Efficient Embedding Model for Fine-Grained User Location Prediction in Geo-Social Networks. - Shuai Xu; Jiuxin Cao; Phil Legg; Bo Liu 004; Shancang Li (IEEE Syst. J., 2020)

Investigating Anti-Evasion Malware Triggers Using Automated Sandbox Reconfiguration Techniques. - Alan Mills; Phil Legg (J. Cybersecur. Priv., 2020)

"Hacking an IoT Home": New opportunities for cyber security education combining remote learning with cyber-physical systems. - Phil Legg; Thomas Higgs; Pennie Spruhan; Jonathan White; Ian Johnson (CyberSA, 2021)

Feature Vulnerability and Robustness Assessment against Adversarial Machine Learning Attacks. - Andrew McCarthy; Panagiotis Andriotis; Essam Ghadafi; Phil Legg (CyberSA, 2021)

Unsupervised One-Class Learning for Anomaly Detection on Home IoT Network Devices. - Jonathan White; Phil Legg (CyberSA, 2021)

Deep Learning-Based Security Behaviour Analysis in IoT Environments: A Survey. - Yawei Yue; Shancang Li; Phil Legg; Fuzhong Li (Secur. Commun. Networks, 2021)

OGMA: Visualisation for Software Container Security Analysis and Automated Remediation. - Alan Mills; Jonathan White; Phil Legg (CSR, 2022)

Investigating Malware Propagation and Behaviour Using System and Network Pixel-Based Visualisation. - Jacob Williams; Phil Legg (SN Comput. Sci., 2022)

Functionality-Preserving Adversarial Machine Learning for Robust Classification in Cybersecurity and Intrusion Detection Domains: A Survey. - Andrew McCarthy; Essam Ghadafi; Panagiotis Andriotis; Phil Legg (J. Cybersecur. Priv., 2022)

A stacked ensemble learning IDS model for Software-defined VANET. - Shakil Ibne Ahsan; Phil Legg; S. M. Iftekharul Alam (CoRR, 2023)

Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification. - Andrew McCarthy; Essam Ghadafi; Panagiotis Andriotis; Phil Legg (J. Inf. Secur. Appl., 2023)

Longitudinal risk-based security assessment of docker software container images. - Alan Mills; Jonathan White; Phil Legg (Comput. Secur., 2023)

Analyst-Driven XAI for Time Series Forecasting: Analytics for Telecoms Maintenance. - James Barrett; Phil Legg; Jim Smith 002; Chip Boyle (ICMLT, 2024)

Digital Twins of Cyber Physical Systems in Smart Manufacturing for Threat Simulation and Detection with Deep Learning for Time Series Classification. - Carol Lo; Thu Yein Win; Zeinab Rezaeifar; Zaheer Khan 003; Phil Legg (ICAC, 2024)

Cyber Funfair: Creating Immersive and Educational Experiences for Teaching Cyber Physical Systems Security. - Alan Mills; Jonathan White; Phil Legg (SIGCSE (1), 2024)

Vulnerability detection through machine learning-based fuzzing: A systematic review. - Sadegh Bamohabbat Chafjiri; Phil Legg; Jun Hong 001; Michail-Antisthenis I. Tsompanas (Comput. Secur., 2024)

Privacy-Preserving Intrusion Detection in Software-defined VANET using Federated Learning with BERT. - Shakil Ibne Ahsan; Phil Legg; S. M. Iftekharul Alam (CoRR, 2024)

GoibhniUWE: A Lightweight and Modular Container-Based Cyber Range. - Alan Mills; Jonathan White; Phil Legg (J. Cybersecur. Priv., 2024)

Leveraging activation and optimisation layers as dynamic strategies in the multi-task fuzzing scheme. - Sadegh Bamohabbat Chafjiri; Phil Legg; Michail-Antisthenis I. Tsompanas; Jun Hong 001 (Comput. Stand. Interfaces, 2025)

gh0stEdit: Exploiting Layer-Based Access Vulnerability Within Docker Container Images. - Alan Mills; Jonathan White; Phil Legg (CoRR, 2025)