Anomaly detection related books, papers, videos, and toolboxes
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Updated
Apr 23, 2024 - Python
Anomaly detection related books, papers, videos, and toolboxes
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
A curated list of data mining papers about fraud detection.
A Deep Graph-based Toolbox for Fraud Detection
Extract and aggregate threat intelligence.
A Python Library for Graph Outlier Detection (Anomaly Detection)
The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is …
StalkPhish - The Phishing kits stalker, harvesting phishing kits for investigations.
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
Find phishing kits which use your brand/organization's files and image.
Distributed Networks Institute
A free cryptowallet risk scoring tool with fully explainable scoring.
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
FraudNE: a Joint Embedding Approach for Fraud Detection (IJCNN 2018)
Deep Structure Learning for Fraud Detection (ICDM 2018)
Face Liveness Detection SDK
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Insurance fraud claims analysis project
An Unsupervised Graph-based Toolbox for Fraud Detection
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