Popular GitHub Repositories for Spam Protection

List of free GPTs that doesn't require plus subscription

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

Master Federated Learning in 2 Hours—Run It on Your PC!

? Palmr. is an open-source file-sharing platform focused on privacy and security. It enables users to upload, manage, and share files with features like password protection, custom links, and access control without tracking or limitations. Designed for seamless and secure sharing, Palmr. is completely free.

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

Fidelius - YeeZ Privacy Computing 基于可信执行环境的熠智隐私计算中间件

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

NVIDIA Federated Learning Application Runtime Environment

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth protection.

Headless chatbot that detects spam and posts links to it in chatrooms for quick deletion.

?️ Tool to generate adversarial text examples and test machine learning models against them

Android Input Method Editor (IME) based on Whisper

A unified, easily extensible repository for LLM unlearning benchmarks (TOFU, MUSE) - enabling new datasets, evaluations, methods, and tasks.

Swift client for AI providers. Can make requests straight to the provider or proxied through our API key protection backend

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

The modern spam protection. Protects your forms from spam by simply checking the content. Open source, Free to use, Accessible, and Self-Hosted.

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

Using word vectors to classify spam messages