Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

A curated list of data mining papers about fraud detection.

A Deep Graph-based Toolbox for Fraud Detection

A Python Library for Graph Outlier Detection (Anomaly Detection)

Extract and aggregate threat intelligence.

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 …

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

StalkPhish - The Phishing kits stalker, harvesting phishing kits for investigations.

Distributed Networks Institute

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Find phishing kits which use your brand/organization's files and image.

A free cryptowallet risk scoring tool with fully explainable scoring.

甜橙金融初赛Rank1

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

FraudNE: a Joint Embedding Approach for Fraud Detection (IJCNN 2018)

Deep Structure Learning for Fraud Detection (ICDM 2018)

Insurance fraud claims analysis project

An Unsupervised Graph-based Toolbox for Fraud Detection

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)