SEAL: Simple Encrypted Arithmetic Library. The Simple Encrypted Arithmetic Library is an easy-to-use homomorphic encryption library, developed by researchers in the Cryptography Research Group at Microsoft Research. SEAL is written in C++, and contains .NET wrappers for the public API. It has no external dependencies, so it is easy to compile in many different environments. SEAL uses the Microsoft Research License Agreement, and is free for research use.
Keywords for this software
References in zbMATH (referenced in 8 articles )
Showing results 1 to 8 of 8.
- Ayoub Benaissa, Bilal Retiat, Bogdan Cebere, Alaa Eddine Belfedhal: TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption (2021) arXiv
- Bossuat, Jean-Philippe; Mouchet, Christian; Troncoso-Pastoriza, Juan; Hubaux, Jean-Pierre: Efficient bootstrapping for approximate homomorphic encryption with non-sparse keys (2021)
- Bootland, Carl; Castryck, Wouter; Iliashenko, Ilia; Vercauteren, Frederik: Efficiently processing complex-valued data in homomorphic encryption (2020)
- Boura, Christina; Gama, Nicolas; Georgieva, Mariya; Jetchev, Dimitar: CHIMERA: combining ring-LWE-based fully homomorphic encryption schemes (2020)
- Rathee, Deevashwer; Schneider, Thomas; Shukla, K. K.: Improved multiplication triple generation over rings via RLWE-based AHE (2019)
- Alexander J. Titus, Shashwat Kishore, Todd Stavish, Stephanie M. Rogers, Karl Ni: PySEAL: A Python wrapper implementation of the SEAL homomorphic encryption library (2018) arXiv
- Albrecht, Martin R.: On dual lattice attacks against small-secret LWE and parameter choices in HElib and SEAL (2017)
- Bonnoron, Guillaume; Fontaine, Caroline; Gogniat, Guy; Herbert, Vincent; Lapôtre, Vianney; Migliore, Vincent; Roux-Langlois, Adeline: Somewhat/fully homomorphic encryption: implementation progresses and challenges (2017)