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

Anomaly detection related books, papers, videos, and toolboxes

A curated list of data mining papers about fraud detection.

A Python Library for Graph Outlier Detection (Anomaly Detection)

Extract and aggregate threat intelligence.

A Deep Graph-based Toolbox for Fraud Detection

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

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

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 …

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

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

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

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

An Unsupervised Graph-based Toolbox for Fraud Detection

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

Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)

MemStream: Memory-Based Streaming Anomaly Detection