FHE Real-world Applications
Apple's Privacy Features:
Live Caller ID Lookup (private information retrieval)
Machine Learning on encrypted data (private nearest neighbor search)
Microsoft's Security:
- Password Checkup in Edge (private set intersection)
Encrypted Genomic Computations
More examples:
Proof-of-concepts (working, but slow)
Toy Examples (for education):
Building Safe AI - A Tutorial for Encrypted Deep Learning - i am trask
Vitalik's https://github.com/vbuterin/research/blob/master/tensor_fhe/homomorphic_encryption.py
Outgoing Web References (10)
-
www.swift.org/blog/announcing-swift-homomorphic-encryption
- Live Caller ID Lookup
-
machinelearning.apple.com/research/homomorphic-encryption
- Machine Learning on encrypted data
-
www.microsoft.com/en-us/research/blog/password-monitor-safeguarding-passwords-in-microsoft-edge
- Password Checkup in Edge
-
github.com/barisozmen/securegenomics
- SecureGenomics Library
-
github.com/barisozmen/securegenomics/blob/main/docs/demo_multi_player.md
- guide
-
www.jeremykun.com/fhe-in-production
- Fully Homomorphic Encryption in Production Systems
-
fhe.org/meetups/016-real_world_deployment_of_FHE_based_private_information_retrieval
- Real-world deployment of FHE-based private information retrieval
-
uggingface.co/spaces/zama-fhe/encrypted_sentiment_analysis
- Sentiment analysis on encrypted text
-
news.ycombinator.com/item?id=31668814
- Private Wikipedia querying
-
iamtrask.github.io/2017/03/17/safe-ai
- Building Safe AI - A Tutorial for Encrypted Deep Learning - i am trask
