Homomorphic Encryption

By Shai Halevi. Tutorials on the Foundations of Cryptography, 2017

398 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/09ad6b41fc80faa5f4d84079a6cb93f3c6e0b827

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Shai Halevi
2. Craig Gentry
3. Brent Waters
4. Haokun Fang
5. Quan Qian
6. Adrià Gascón
7. Matt J. Kusner
8. Varun Kanade

Citations in the corpus

• Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning (2021, methodology): “In addition, the result of the homomorphic operation after decryption is equivalent to the operation on the plaintext data [7].”
• Compressible FHE with Applications to PIR (2019, background): “(See [Hal17] for detailed treatment of all these variations.)”
• TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service (2018, background): “For more detailed background on FHE beyond what is described below, see the excellent tutorial of Halevi (2017).”