Stars
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
Web Advertising BG - https://www.w3.org/community/web-adv/
The code for "Improved Deep Leakage from Gradients" (iDLG).
Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.
This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
A curated list of resources dedicated to federated learning.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Declarative, On-Device Machine Learning for iOS, Android, and React Native. Deploy. Predict. Train.
Library for training machine learning models with privacy for training data
A web-caching policy emulator from Edgio.
Deadline countdowns for academic conferences in Security and Privacy
Code and hyperparameters for the paper "Generative Adversarial Networks"
Comprehensive collection of programming styles using a simple computational task, term frequency
A system for quickly generating training data with weak supervision