A Review of Homomorphic Encryption Libraries for Secure Computation
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Abstract (arXiv)
In this paper we provide a survey of various libraries for homomorphic encryption. We describe key features and trade-offs that should be considered while choosing the right approach for secure computation. We then present a comparison of six commonly available Homomorphic Encryption libraries - SEAL, HElib, TFHE, Paillier, ELGamal and RSA across these identified features. Support for different languages and real-life applications are also elucidated.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Dec 2018.
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Citing papers per year: 2021: 4.
4 papers.
- 2021Label Leakage and Protection in Two-party Split Learningcited by 87
- 2021Defending against Reconstruction Attack in Vertical Federated Learningcited by 20
- 2021Privacy and Trust Redefined in Federated Machine Learningcited by 13
- 2021Machine Learning in Precision Medicine to Preserve Privacy via Encryptioncited by 0
- 2021Defending against Reconstruction Attack in Vertical Federated Learning21 Jul 2021
- 2021Privacy and Trust Redefined in Federated Machine Learning29 Mar 2021
- 2021Label Leakage and Protection in Two-party Split Learning17 Feb 2021
- 2021Machine Learning in Precision Medicine to Preserve Privacy via Encryption5 Feb 2021