Batch bootstrapping. I: A new framework for SIMD bootstrapping in polynomial modulus

Cites Work

Advances in cryptology -- CRYPTO 2013. 33rd annual cryptology conference, Santa Barbara, CA, USA, August 18--22, 2013. Proceedings, Part I
Large FHE gates from tensored homomorphic accumulator
Faster homomorphic linear transformations in HElib
Advances in cryptology -- ASIACRYPT 2017. 23rd international conference on the theory and applications of cryptology and information security, Hong Kong, China, December 3--7, 2017. Proceedings. Part III
Estimate all the {LWE, NTRU} schemes!
Efficient homomorphic conversion between (ring) LWE ciphertexts
Algebraically structured LWE. Revisited
TFHE: fast fully homomorphic encryption over the torus
Faster packed homomorphic operations and efficient circuit bootstrapping for TFHE
Homomorphic encryption for arithmetic of approximate numbers
Ring-based identity based encryption -- asymptotically shorter MPK and tighter security
How (Not) to Instantiate Ring-LWE
Practical Bootstrapping in Quasilinear Time
Homomorphic Encryption from Learning with Errors: Conceptually-Simpler, Asymptotically-Faster, Attribute-Based
Faster Bootstrapping with Polynomial Error
Trapdoors for Lattices: Simpler, Tighter, Faster, Smaller
Better Bootstrapping in Fully Homomorphic Encryption
FHEW: Bootstrapping Homomorphic Encryption in Less Than a Second
Faster Fully Homomorphic Encryption: Bootstrapping in Less Than 0.1 Seconds
Lattice-based FHE as secure as PKE
On Ideal Lattices and Learning with Errors over Rings
A Toolkit for Ring-LWE Cryptography
Pseudorandomness of ring-LWE for any ring and modulus
Ring Packing and Amortized FHEW Bootstrapping
Fully homomorphic encryption using ideal lattices
Computing Blindfolded: New Developments in Fully Homomorphic Encryption
Efficient Fully Homomorphic Encryption from (Standard) LWE
Classical hardness of learning with errors
On lattices, learning with errors, random linear codes, and cryptography
FINAL: faster FHE instantiated with NTRU and LWE
Improved programmable bootstrapping with larger precision and efficient arithmetic circuits for TFHE