Secure Source Coding

Secure Source Coding is a method in information-theoretic security that belongs to the class of source coding techniques, distinguished by its incorporation of cryptographic constraints to ensure that compressed data reveals no information about the source beyond what is intended, even under computational or information-theoretic adversary models.

37

Publications

1.1K

Citations

74

Authors

45

Institutions

Publications per year

2017–2026

7

Authors

74

  1. KK
    Kittipong Kittichokechai

    KTH Royal Institute of Technology, Sweden

    5 publications · 82 citations

    5

    h-index

  2. YC
    Yeow-Khiang Chia

    Institute for Infocomm Research, Singapore

    4 publications · 72 citations

    4

    h-index

  3. ŞU
    Şennur Ulukuş

    University of Maryland, College Park, United States

    4 publications · 89 citations

    4

    h-index

  4. MS
    Mikael Skoglund

    KTH Royal Institute of Technology, Sweden

    4 publications · 70 citations

    4

    h-index

  5. TJ
    Tobias J. Oechtering

    KTH Royal Institute of Technology, Sweden

    4 publications · 70 citations

    4

    h-index

1–5 of 74

Venues

  1. IEEE Transactions on Information Theory

    10 publications · 294 citations

    10

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  2. 2

    h-index

  3. 1

    h-index

  4. Signal Processing Image Communication

    1 publications · 12 citations

    1

    h-index

  5. 1

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1–5