Building Applications with Homomorphic Encryption

Author:

Hallman Roger A.1,Laine Kim2,Dai Wei3,Gama Nicolas4,Malozemoff Alex J.5,Polyakov Yuriy6,Carpov Sergiu7

Affiliation:

1. SPAWAR Systems Center Pacific & Dartmouth College, San Diego, CA, USA

2. Microsoft Research, Redmond, WA, USA

3. Worcester Polytechnic Institute, Worcester, MA, USA

4. Inpher, Inc., Lusanne, Switzerland

5. Galois, Inc, Portland, OR, USA

6. NJIT Cybersecurity Research Center, Newark, NJ, USA

7. CEA, LIST, 91191 Gif-sur-Yvette Cedex, France

Funder

Horizon 2020 Framework Programme

Fonds Unique Interministériel

SPAWAR Systems Center Pacific

Microsoft Corporation

Nvidia

Alfred P. Sloan Foundation

Office of Naval Research

Intelligence Advanced Research Projects Activity

National Science Foundation

Publisher

ACM

Reference15 articles.

1. 2016. CUDA Homomorphic Encryption Library. https://github.com/vernamlab/cuHE. (2016). 2016. CUDA Homomorphic Encryption Library. https://github.com/vernamlab/cuHE. (2016).

2. 2017. HomomorphicEncryption.org. (2017). 2017. HomomorphicEncryption.org. (2017).

3. 2018. Cingulata. https://github.com/CEA-LIST/Cingulata. (2018). 2018. Cingulata. https://github.com/CEA-LIST/Cingulata. (2018).

4. 2018. CUDA-accelerated Fully Homomorphic Encryption Library. https://github.com/vernamlab/cuFHE. (2018). 2018. CUDA-accelerated Fully Homomorphic Encryption Library. https://github.com/vernamlab/cuFHE. (2018).

5. 2018. HElib. https://github.com/shaih/HElib. (2018). 2018. HElib. https://github.com/shaih/HElib. (2018).

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