A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
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Updated
Sep 13, 2024
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Anti Spam/NSFW Telegram Bot Written In Python With Pyrogram.
🍯 Unobtrusive and flexible spam protection for Rails apps
Exchange Transport rules to detect and enable response to phishing
🗣️ Tool to generate adversarial text examples and test machine learning models against them
System based on +500 blacklists and 5 external intelligences to detect internet potencially malicious hosts
Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs, and @lassjs.
Anti-Spam bot for Telegram
The WordPress Zero Spam plugin makes blocking spam a cinch without all the bloated options. Just install, activate, and say goodbye to spam.
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
„... another popular solution to fight spam is Antispam Bee“ – Matt Mullenweg, Q&A WordCamp Europe 2014
An Unsupervised Graph-based Toolbox for Fraud Detection
A collection of static files maintained by the Sublime team, primarily used for phishing defense.
A list of disposable email domains, cleaned and validated by scanning MX records.
Asynchronous Python Wrapper For A.R.Q API.
Email Spam-detection is an ANN app with TensorFlow. The idea is simple - given an email you’ve never seen before, determine whether or not that email is Spam
List of disposable email domains. You can use it to block fake users on your newsletter.
Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning
GDPR compliant, self-hosted CAPTCHA alternative with PoW mechanism and advanced anti-spam filter.
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