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GuiltyWalker: Distance to illicit nodes in the Bitcoin network
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GuiltyWalker: Distance to illicit nodes in the Bitcoin network

C. Oliveira
Joao Torres
Maria Inês Silva
David Oliveira Aparício
João Tiago Ascensão
P. Bizarro
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Papers citing "GuiltyWalker: Distance to illicit nodes in the Bitcoin network"

9 / 9 papers shown
Title
Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs
Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs
Jovan Blanusa
Maximo Cravero Baraja
Andreea Anghel
Luc von Niederhäusern
Erik Altman
Haris Pozidis
Kubilay Atasu
408
0
0
13 Feb 2024
Coupled-Space Attacks against Random-Walk-based Anomaly Detection
Coupled-Space Attacks against Random-Walk-based Anomaly Detection
Y. Lai
Marcin Waniek
Liying Li
Jing-Zheng Wu
Yulin Zhu
Tomasz P. Michalak
Talal Rahwan
Kai Zhou
AAML
61
0
0
26 Jul 2023
The GANfather: Controllable generation of malicious activity to improve defence systems
The GANfather: Controllable generation of malicious activity to improve defence systems
Ricardo Pereira
Jacopo Bono
João Tiago Ascensão
David Oliveira Aparício
Pedro Ribeiro
P. Bizarro
AAML
48
2
0
25 Jul 2023
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics
Youssef Elmougy
Ling Liu
79
30
0
25 May 2023
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering
Mário Cardoso
Pedro Saleiro
P. Bizarro
MLAUAI4TS
70
26
0
25 Oct 2022
Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensics
Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensics
Nadia Pocher
Mirko Zichichi
Fabio Merizzi
Muhammad Shafiq
S. Ferretti
75
35
0
07 Jun 2022
Fighting Money Laundering with Statistics and Machine Learning
Fighting Money Laundering with Statistics and Machine Learning
R. Jensen
Alexandros Iosifidis
78
16
0
11 Jan 2022
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs
Ahmad Naser Eddin
Jacopo Bono
David Oliveira Aparício
David Polido
João Tiago Ascensão
P. Bizarro
Pedro Ribeiro
48
17
0
14 Dec 2021
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks
Claudio Bellei
Hussain Alattas
N. Kaaniche
GNN
54
9
0
05 Apr 2021