miguelfrndz/Differential-Privacy-GL-Attacks
Differential Privacy: Gradient Leakage Attacks in Federated Learning Environments
No commits in the last 6 months.
Stars
4
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 08, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/miguelfrndz/Differential-Privacy-GL-Attacks"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
tensorflow/privacy
Library for training machine learning models with privacy for training data
meta-pytorch/opacus
Training PyTorch models with differential privacy
tf-encrypted/tf-encrypted
A Framework for Encrypted Machine Learning in TensorFlow
awslabs/fast-differential-privacy
Fast, memory-efficient, scalable optimization of deep learning with differential privacy
privacytrustlab/ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning...