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Detecting Anomalies in Blockchain Transactions using Machine Learning
  Classifiers and Explainability Analysis

Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis

7 January 2024
Mohammad Hasan
Mohammad Shahriar Rahman
Helge Janicke
Iqbal H. Sarker
ArXiv (abs)PDFHTML

Papers citing "Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis"

4 / 4 papers shown
Title
Explain First, Trust Later: LLM-Augmented Explanations for Graph-Based Crypto Anomaly Detection
Explain First, Trust Later: LLM-Augmented Explanations for Graph-Based Crypto Anomaly Detection
Adriana Watson
10
0
0
17 Jun 2025
Machine Learning for Blockchain Data Analysis: Progress and
  Opportunities
Machine Learning for Blockchain Data Analysis: Progress and Opportunities
Poupak Azad
Cüneyt Gürcan Akçora
Arijit Khan
82
5
0
28 Apr 2024
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.3K
22,349
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.3K
17,225
0
16 Feb 2016
1