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🔍 Curated papers & blogs on ML in risk industries like 🛡️fraud detection, 📈content moderation, and more!

anoma community-detection content-moderation data-science deep-learning fraud-detection machine-learning production

applied-fraud-ml's Introduction

applied-risk-ml

Meticulously selected papers, articles, and blogs on the implementation of data science and machine learning in risk-related industries. This project is inspired by applied-ml.

contributions welcome

Table of Contents

Community Detection

Title Year Company Fields Applied
Uncovering Large Groups of Active Malicious Accounts in Online Social Networks 2015 Meta Account Fraud
Detecting Fake Accounts in Online Social Networks at the Time of Registrations 2019 Tencent Account Fraud
Similarity clustering to catch fraud rings 2020 Stripe Transaction Fraud
Detecting fake accounts on social networks with SybilEdge 2020 Meta Account Fraud
Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach 2021 Tencent Account Fraud

Anomaly Detection

Title Year Company Fields Applied
FARE: Schema-Agnostic Anomaly Detection in Social Event Logs 2019 Snap Bot Detection
Detecting Fake Accounts in Online Social Networks at the Time of Registrations 2019 Tencent Account Fraud
Cloudflare Bot Management: machine learning and more 2020 Cloudflare Bot Detection
Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach 2021 Tencent Account Fraud
Machine Learning for Fraud Detection in Streaming Services 2022 Netflix Account Fraud
Project RADAR: Intelligent Early Fraud Detection System with Humans in the Loop 2022 Uber Customer Fraud
Unsupervised and semi-supervised anomaly detection with data-centric ML – Google Research Blog 2023 Google
Risk Entity Watch – Using Anomaly Detection to Fight Fraud 2023 Uber Customer Fraud

GNN

Title Year Company Fields Applied
GeniePath: Graph Neural Networks with Adaptive Receptive Paths 2018 Ant Financial payment fraud
Spam Review Detection with Graph Convolutional Networks 2019 Alibaba content moderation
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial 2019 Ant Finance Transaction Fraud
Suspicious Massive Registration Detection Via Dynamic Heterogeneous Graph Neural Network 2020 Ant Financial Account Fraud
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining 2020 Ant Financial Financial Risk
Uncovering Insurance Fraud Conspiracy with Network Learning 2020 Ant Financial Customer Fraud
Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection 2020 Iqiyi Customer Fraud
BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising 2021 Mobvisa Bot Detection
Fraud Detection: Using Relational Graph Learning to Detect Collusion 2021 Uber Customer Fraud
How Pinterest fights misinformation, hate speech, and self-harm content with machine learning 2021 Pinterest content moderation
Graph Usage in Combating ATO Fraud Risk 2023 Paypal Account Fraud

Sequential Modeling

Title Year Company Fields Applied
DeepTrax: Embedding Graphs of Financial Transactions 2019 Capital One Transaction Fraud
Using deep learning to detect abusive sequences of member activity 2021 Linkedin Customer Fraud
Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection 2021 Ebay Customer Fraud
User Behavior Pre-training for Online Fraud Detection 2022 Alibaba Customer Fraud
Graph Embeddings and Similarity Search in ML 2023 Capital One Transaction Fraud

TabularDNN

Title Year Company Fields Applied
BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising 2021 Mobvisa Bot Detection
How WhatsApp fights Spam & Abuse 2021 Whatsapp Content Moderation
How Pinterest Fights Spam Using Machine Learning 2021 Pinterest Content Moderation
Amazon Science --- Invalidating robotic ad clicks in real time - Amazon Science 2023 Amazon Bot Detection
How we built it: Stripe Radar 2023 Stripe Transaction Fraud

Others

Title Year Company Fields Applied
Fighting Financial Fraud with Targeted Friction 2018 Airbnb Chargeback
Here's how we're using AI to help detect misinformation 2020 Meta Content Moderation
Understanding the intentions of Child Sexual Abuse Material (CSAM) sharers - Meta Research 2021 Meta Content Moderation
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms 2022 Meta Content Moderation
Viral spam content detection at LinkedIn 2023 Linkedin Content Moderation
Announcing Cloudflare Fraud Detection 2023 Cloudflare Bot Detection
Variable Hub: Easier Data Integration for Risk Decisioning 2023 Ebay CyberAttack

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