Dynamic Decentralized Functional Encryption
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Functional encryption enables the computation of specific functions on encrypted data and returns only the result, restricting information exposure more tightly than homomorphic encryption.
“Functional Encryption (FE): FE goes a step further by enabling the computation of specific functions on encrypted data and returning only the result.This restricts the information exposure even more tightly than HE.Chotard et al. [119].”
From Confidential Computing Across Edge‐To‐Cloud for Machine Learning: A Survey Study (2025) · cites this paper as [119]
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Confidential Computing Across Edge‐To‐Cloud for Machine Learning: A Survey Study
Zobaed, S., & Amini Salehi, M. (2025) · Software Practice and Experience · doi:10.1002/spe.3398 · Cited by 21 · see citing works
“Chotard et al. [119].”
- Authors
- Chotard, J., Dufour-Sans, E., Gay, R., Phan, D. H., & Pointcheval, D.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Cornell Tech (US)
- Corresponding author
- Gay, Romain
- Pointcheval, David
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Volume
- LNCS
- Issue
- 12170
- Pages
- 747-775
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3013668697
- Cited by
- 54
- References
- 0
- Citations by year
- 2026: 2 · 2025: 15 · 2024: 6 · 2023: 15 · 2022: 6 · 2021: 8 · 2020: 2
- FWCI
- 2.96
- Type
- conference paper
- Language
- en
- Open access
- green
- inria.hal.science
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
- Keywords
- inner-product functional encryption, prime order groups, random oracle model, DDH assumption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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