Simple Encrypted Arithmetic Library - SEAL v2.1
- Submitting institution
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Royal Holloway and Bedford New College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 34960105
- Type
- E - Conference contribution
- DOI
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10.1007/978-3-319-70278-0_1
- Title of conference / published proceedings
- Financial Cryptography and Data Security : FC 2017 International Workshops, WAHC, BITCOIN, VOTING, WTSC, and TA, Sliema, Malta, April 7, 2017, Revised Selected Papers
- First page
- 3
- Volume
- 10323
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- November
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes the implementation of the FV homomorphic encryption scheme into Microsoft SEAL (v2.1). SEAL is one of the leading open-source homomorphic encryption libraries. Previously, SEAL implemented the YASHE homomorphic encryption scheme, whose security had been called into question. SEAL continues to be developed (v3.5) and is relied upon in an AzureML privacy-preserving machine learning application.
This paper was published at WAHC 2017, the premier workshop for applied homomorphic encryption research. The paper is highly cited and draws on the Microsoft technical report [SEAL v2.0] by the same authors, which is also widely adopted by the cyber-security community.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -