The most advanced browser fingerprinting library.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Anomaly detection related books, papers, videos, and toolboxes
MISP (core software) - Open Source Threat Intelligence and Sharing Platform
A curated list of data mining papers about fraud detection.
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
A Python Library for Graph Outlier Detection (Anomaly Detection)
Extract and aggregate threat intelligence.
Face recognition SDK Android with 3D passive liveness detection (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
A tool to detect illegitimate stars from bot accounts on GitHub projects
A Deep Graph-based Toolbox for Fraud Detection
Scanner, signatures and the largest collection of Magento malware
StalkPhish - The Phishing kits stalker, harvesting phishing kits for investigations.
3D Passive Face Liveness Detection!Supports Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution on Android
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Face recognition SDK iOS with 3D passive liveness detection (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)
Face recognition SDK & Face liveness detection SDK (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Face Liveness Detection SDK - iBeta level 2 compliant passive face liveness detection SDK which can detect printed photos, video replay, 3D masks, and deepfake threats
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