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2020 – today
- 2025
[j3]Jack Nicholls
, Aditya Kuppa, Nhien-An Le-Khac:
Large Language Model XAI approach for illicit activity Investigation in Bitcoin. Neural Comput. Appl. 37(30): 24869-24881 (2025)- 2024
- [j2]Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac:
The next phase of identifying illicit activity in Bitcoin. Int. J. Netw. Manag. 34(5) (2024) - [c4]John William O'Meara, Mohit Taneja, Jack Nicholls, Nitish Kothale, Steve Flinter, Anca Delia Jurcut:
JoinDetect: A Data-Led Machine Learning Approach to Detection of Coinjoin Transactions. GoodIT 2024: 5-13 - [c3]Aditya Kuppa, Jack Nicholls, Nhien-An Le-Khac:
Manipulating Prompts and Retrieval-Augmented Generation for LLM Service Providers. SECRYPT 2024: 777-785 - 2023
- [c2]Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac:
FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification. ACSAC 2023: 324-336 - [c1]Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac:
SoK: The Next Phase of Identifying Illicit Activity in Bitcoin. ICBC 2023: 1-10 - [i2]Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac:
Enhancing Illicit Activity Detection using XAI: A Multimodal Graph-LLM Framework. CoRR abs/2310.13787 (2023) - 2021
- [j1]Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac:
Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape. IEEE Access 9: 163965-163986 (2021) - 2020
- [i1]Carlos Gómez, Niamh Belton, Boi M. Quach, Jack Nicholls, Devanshu Anand:
A Simplistic Machine Learning Approach to Contact Tracing. CoRR abs/2012.05940 (2020)
Coauthor Index
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