A Simplistic Machine Learning Approach to Contact Tracing. - Carlos Gómez; Niamh Belton; Boi M. Quach; Jack Nicholls; Devanshu Anand (CoRR, 2020)

Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape. - Jack Nicholls; Aditya Kuppa; Nhien-An Le-Khac (IEEE Access, 2021)

FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification. - Jack Nicholls; Aditya Kuppa; Nhien-An Le-Khac (ACSAC, 2023)

SoK: The Next Phase of Identifying Illicit Activity in Bitcoin. - Jack Nicholls; Aditya Kuppa; Nhien-An Le-Khac (ICBC, 2023)

Enhancing Illicit Activity Detection using XAI: A Multimodal Graph-LLM Framework. - Jack Nicholls; Aditya Kuppa; Nhien-An Le-Khac (CoRR, 2023)

JoinDetect: A Data-Led Machine Learning Approach to Detection of Coinjoin Transactions. - John William O'Meara; Mohit Taneja; Jack Nicholls; Nitish Kothale; Steve Flinter; Anca Delia Jurcut (GoodIT, 2024)

Manipulating Prompts and Retrieval-Augmented Generation for LLM Service Providers. - Aditya Kuppa; Jack Nicholls; Nhien-An Le-Khac (SECRYPT, 2024)

The next phase of identifying illicit activity in Bitcoin. - Jack Nicholls; Aditya Kuppa; Nhien-An Le-Khac (Int. J. Netw. Manag., 2024)