Approximate Homomorphic Encryption

Approximate Homomorphic Encryption is a type of homomorphic encryption scheme that enables computation on encrypted data while permitting small, controlled approximation errors in the decrypted results, distinguishing it from exact homomorphic encryption methods by prioritizing efficiency and scalability for applications such as privacy-preserving machine learning.

29

Publications

2.2K

Citations

104

Authors

53

Institutions

Publications per year

2017–2026

21

Authors

104

  1. JH
    Jung Hee Cheon

    Seoul National University, South Korea

    6 publications · 490 citations

    6

    h-index

  2. AK
    Andrey Kim

    Seoul National University, South Korea

    5 publications · 285 citations

    5

    h-index

  3. JL
    Junghyun Lee

    Sangji University, South Korea

    3 publications · 428 citations

    3

    h-index

  4. JN
    Jong‐Seon No

    Seoul National University, South Korea

    3 publications · 428 citations

    3

    h-index

  5. YS
    Young Sik Kim

    Seoul National University, South Korea

    3 publications · 428 citations

    3

    h-index

1–5 of 104

Venues

  1. IACR Cryptology ePrint Archive

    Repository · 4 publications · 112 citations

    4

    h-index

  2. IEEE Access

    3 publications · 482 citations

    3

    h-index

  3. 2

    h-index

  4. BMC Medical Genomics

    2 publications · 239 citations

    2

    h-index

  5. EURASIP Journal on Information Security

    2 publications · 540 citations

    2

    h-index

1–5