Topic: fraud-detection Goto Github
Some thing interesting about fraud-detection
Some thing interesting about fraud-detection
fraud-detection,Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Organization: awslabs
fraud-detection,An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
Organization: awslabs
Home Page: https://awslabs.github.io/realtime-fraud-detection-with-gnn-on-dgl/
fraud-detection,A curated list of data mining papers about fraud detection.
User: benedekrozemberczki
fraud-detection,IP Intelligence is a free Proxy VPN TOR and Bad IP detection tool to prevent Fraud, stolen content, and malicious users. Block proxies, VPN connections, web host IPs, TOR IPs, and compromised systems with a simple API. GeoIP lookup available.
User: blackdotsh
Home Page: http://getipintel.net
fraud-detection,Marble - the real time decision engine for fraud and AML
Organization: checkmarble
Home Page: https://www.checkmarble.com
fraud-detection,Face recognition & Face liveness detection SDK (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)
Organization: faceplugin-ltd
Home Page: https://faceplugin.com/
fraud-detection,Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.
Organization: fingerprintjs
Home Page: https://fingerprint.com/github/
fraud-detection,Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Organization: fraud-detection-handbook
Home Page: https://fraud-detection-handbook.github.io/fraud-detection-handbook/Foreword.html
fraud-detection,Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
User: fzliu
fraud-detection,BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)
Organization: git-disl
fraud-detection,Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
User: gitihubi
fraud-detection,Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
User: gitihubi
fraud-detection,Scanner, signatures and the largest collection of Magento malware
User: gwillem
fraud-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 critical to advance detection capabilities of money laundering activities.
Organization: ibm
fraud-detection,Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
Organization: ibm
Home Page: https://arxiv.org/abs/2011.01843
fraud-detection,Extract and aggregate threat intelligence.
Organization: inquest
Home Page: https://inquest.readthedocs.io/projects/threatingestor/
fraud-detection,A collection of research and survey papers of fraud detection mainly in advertising.
User: ipl
fraud-detection,Paper collection for graph based models in finance application
User: jackied14
fraud-detection,Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
User: jacopotagliabue
fraud-detection,A free cryptowallet risk scoring tool with fully explainable scoring.
Organization: januusio
fraud-detection,Accounting Fraud Detection Using Machine Learning
User: jarfraud
fraud-detection,A data science project to predict whether a transaction is a fraud or not.
User: juniorcl
fraud-detection,甜橙金融初赛Rank1
User: juzstu
fraud-detection,Python implementation of Benford's Law tests.
User: milcent
fraud-detection,Upgrade your Android app with MiniAiLive's 3D Passive Face Liveness Detection! With our advanced computer vision techniques, you can now enhance security and accuracy on your Android platform. Check out our latest repository containing a demonstration of 2D & 3D passive face liveness detection capabilities. Try it out today!
Organization: miniailive
Home Page: https://www.miniai.live/
fraud-detection,MISP (core software) - Open Source Threat Intelligence and Sharing Platform
Organization: misp
Home Page: https://www.misp-project.org/
fraud-detection,ThreatBite is a real-time service that detects unwanted web users.
User: optimatiq
Home Page: https://optimatiq.com/threatbite/
fraud-detection,A Python Library for Graph Outlier Detection (Anomaly Detection)
Organization: pygod-team
Home Page: https://pygod.org
fraud-detection,A Deep Graph-based Toolbox for Fraud Detection
Organization: safe-graph
fraud-detection,A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Organization: safe-graph
fraud-detection,A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Organization: safe-graph
fraud-detection,Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Organization: safe-graph
Home Page: http://arxiv.org/abs/2104.07886
fraud-detection,An Unsupervised Graph-based Toolbox for Fraud Detection
Organization: safe-graph
fraud-detection,Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
User: selimfirat
fraud-detection,Protect your SIP Servers from bad actors at https://sentrypeer.org
Organization: sentrypeer
Home Page: https://sentrypeer.org
fraud-detection,MemStream: Memory-Based Streaming Anomaly Detection
Organization: stream-ad
fraud-detection,Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
Organization: stream-ad
fraud-detection,emailrep.io Public API
Organization: sublime-security
Home Page: https://emailrep.io
fraud-detection,Find phishing kits which use your brand/organization's files and image.
User: t4d
fraud-detection,StalkPhish - The Phishing kits stalker, harvesting phishing kits for investigations.
User: t4d
fraud-detection,SDK providing app protection and threat monitoring for mobile devices, available for Flutter, Cordova, Android and iOS.
Organization: talsec
Home Page: https://talsec.app/freerasp-in-app-protection-security-talsec
fraud-detection,Leading open source version of iOS device fingerprint, accurate deviceID and risk identification.
User: trustdecision
Home Page: https://trustdecision.com/solutions/trustdevice
fraud-detection,A tool to detect illegitimate stars from bot accounts on GitHub projects
User: ullaakut
fraud-detection,Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
User: xiaoxiaoma-mq
fraud-detection,Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
User: yazanobeidi
fraud-detection,Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
User: yingtongdou
Home Page: https://arxiv.org/abs/2008.08692
fraud-detection,Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning
User: yingtongdou
Home Page: http://arxiv.org/abs/2006.06069
fraud-detection,Anomaly detection related books, papers, videos, and toolboxes
User: yzhao062
fraud-detection,A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
User: yzhao062
Home Page: http://pyod.readthedocs.io
fraud-detection,Learning Fraud Detection from research papers and industry applications.
User: zixi-liu
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