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  2. Homomorphic encryption - Wikipedia

    en.wikipedia.org/wiki/Homomorphic_encryption

    Homomorphic encryption is a form of encryption that allows computations to be performed on encrypted data without first having to decrypt it. The resulting computations are left in an encrypted form which, when decrypted, result in an output that is identical to that of the operations performed on the unencrypted data.

  3. HElib - Wikipedia

    en.wikipedia.org/wiki/HElib

    Homomorphic Encryption library or HElib is a free and open-source cross platform software developed by IBM that implements various forms of homomorphic encryption. [ 1 ] [ 2 ] History

  4. Homomorphic secret sharing - Wikipedia

    en.wikipedia.org/wiki/Homomorphic_secret_sharing

    In cryptography, homomorphic secret sharing is a type of secret sharing algorithm in which the secret is encrypted via homomorphic encryption. A homomorphism is a transformation from one algebraic structure into another of the same type so that the structure is preserved. Importantly, this means that for every kind of manipulation of the ...

  5. Confidential computing - Wikipedia

    en.wikipedia.org/wiki/Confidential_computing

    Fully homomorphic encryption (FHE) is a form of encryption that permits users to perform computations on encrypted data without first decrypting it. Confidential computing, in contrast, transfers encrypted data inside a hardware-enforced, access-controlled TEE in the processor and memory, decrypts the data, and performs the required computations.

  6. Private set intersection - Wikipedia

    en.wikipedia.org/wiki/Private_set_intersection

    Example PSI diagram depicting basic security requirements. Other variants of this exist, such as the server-client scenario, in which only the client learns the intersection of her set with the set of the server, without the server learning intersection of his set with the clients. [2]

  7. Ring learning with errors - Wikipedia

    en.wikipedia.org/wiki/Ring_learning_with_errors

    In post-quantum cryptography, ring learning with errors (RLWE) is a computational problem which serves as the foundation of new cryptographic algorithms, such as NewHope, designed to protect against cryptanalysis by quantum computers and also to provide the basis for homomorphic encryption.

  8. Category:Homomorphic encryption - Wikipedia

    en.wikipedia.org/.../Category:Homomorphic_encryption

    Homomorphic encryption is a form of encryption that permits users to perform computations on its encrypted data without first decrypting it. These resulting computations are left in an encrypted form which, when decrypted, result in an identical output to that produced had the operations been performed on the unencrypted data.

  9. Microsoft SEAL - Wikipedia

    en.wikipedia.org/wiki/Microsoft_SEAL

    Microsoft SEAL comes with two different homomorphic encryption schemes with very different properties: BFV : [ 5 ] The BFV scheme allows modular arithmetic to be performed on encrypted integers. For applications where exact values are necessary, the BFV scheme is the only choice.

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