http://RingCipher.com - Computing on Encrypted Data Focused on creating fully homomorphic encryption (FHE) prototypes. The FHE scheme used was a Ring-Learning with Errors BGV variant (Brakerski, Gentry, Vaikuntanathan) where the plaintext space is comprised of subrings of cyclotomic number fields. This scheme has SIMD capabilities through Chinese remaindering of the planitext space and exploits the transitive properties of the automorphism group associated with the number field. Used Halevi and Shoup's HElib and Shoup’s Number Theory library
| Website | http://www.ringcipher.com |
| Employees | 1 (1 on RocketReach) |
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| Industry | Computer and Network Security |
| Keywords | Fully Homomorphic Encryption, Homomorphic Encryption, Secure Computation, Secure Data Processing, Data Privacy, Data Security, Data Encryption, Privacy Enhancing Technologies, Cryptography, Cybersecurity, Post Quantum Cryptography, Cloud Security, Differential Privacy |
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RingCipher is based in San Francisco, California.