Encrypted Document Analysis

Encrypted Document Analysis is a computational framework within encrypted data analysis that specifically enables the processing and extraction of meaningful information from document-level data while preserving content confidentiality through cryptographic techniques.

15

Publications

473

Citations

49

Authors

22

Institutions

Publications per year

2017–2026

6

Authors

49

  1. BM
    Beáta Megyesi

    Uppsala University, Sweden

    4 publications · 82 citations

    4

    h-index

  2. SK
    Stefan Katzenbeisser

    Technische Universität Darmstadt, Germany

    2 publications · 201 citations

    2

    h-index

  3. GN
    Gregory Neven

    IBM Research - Zurich, Switzerland

    2 publications · 201 citations

    2

    h-index

  4. KK
    Kevin Knight

    University of Southern California, United States

    2 publications · 31 citations

    2

    h-index

  5. MB
    Mauro Barni

    University of Siena, Italy

    2 publications · 201 citations

    2

    h-index

1–5 of 49

Venues

  1. EURASIP Journal on Information Security

    2 publications · 201 citations

    2

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. Cryptologia

    1 publications · 35 citations

    1

    h-index

  5. 1

    h-index

1–5