CirSandro/private-fhe-fraud-detection
A capstone project in collaboration with Zama to develop a privacy-preserving machine learning model using PPML, FHE and Concrete ML to detect banking frauds.
No commits in the last 6 months.
Stars
5
Forks
5
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 31, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/CirSandro/private-fhe-fraud-detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
flwrlabs/flower
Flower: A Friendly Federated AI Framework
zama-ai/concrete-ml
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on...
p2pfl/p2pfl
P2PFL is a decentralized federated learning library that enables federated learning on...
JonasGeiping/breaching
Breaching privacy in federated learning scenarios for vision and text
SMILELab-FL/FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.