Labeled homomorphic encryption. Scalable and privacy-preserving processing of outsourced data
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Publication:2167714
DOI10.1007/978-3-319-66402-6_10zbMath1496.68056OpenAlexW2742583181MaRDI QIDQ2167714
Dario Catalano, Dario Fiore, Manuel Barbosa
Publication date: 25 August 2022
Full work available at URL: https://doi.org/10.1007/978-3-319-66402-6_10
Cryptography (94A60) Data encryption (aspects in computer science) (68P25) Computer security (68M25)
Related Items (2)
$$\mathsf {HIKE}$$ : Walking the Privacy Trail ⋮ Toward practical privacy-preserving linear regression
Cites Work
- Fixed-point arithmetic in SHE schemes
- Fully Homomorphic Message Authenticators
- Homomorphic Signatures with Efficient Verification for Polynomial Functions
- Multiparty Computation from Somewhat Homomorphic Encryption
- Practical Covertly Secure MPC for Dishonest Majority – Or: Breaking the SPDZ Limits
- Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
- Efficient Cryptosystems from 2 k -th Power Residue Symbols
- Practical Homomorphic MACs for Arithmetic Circuits
- Fully homomorphic encryption using ideal lattices
- Advances in Cryptology - ASIACRYPT 2003
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