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.
Table of Contents
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 |
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 | ||
Risk Entity Watch – Using Anomaly Detection to Fight Fraud | 2023 | Uber | Customer Fraud |
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 | 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 |
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 | Content Moderation | |
How Pinterest Fights Spam Using Machine Learning | 2021 | 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 |
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 | Content Moderation | |
Announcing Cloudflare Fraud Detection | 2023 | Cloudflare | Bot Detection |
Variable Hub: Easier Data Integration for Risk Decisioning | 2023 | Ebay | CyberAttack |