Private Query Processing

Private Query Processing is a privacy-preserving protocol that enables a user to retrieve information from a database without revealing the query content to the data holder, distinguishing it from general query processing by incorporating cryptographic or obfuscation mechanisms to ensure query privacy at the edge.

355

Publications

26.3K

Citations

883

Authors

334

Institutions

Publications per year

2017–2026

130

Authors

883

  1. JU
    Jonathan Ullman

    Harvard University, United States

    12 publications · 369 citations

    11

    h-index

  2. TM
    Tal Malkin

    Columbia University, United States

    9 publications · 1.3K citations

    9

    h-index

  3. AR
    Aaron Roth

    University of Pennsylvania, United States

    9 publications · 750 citations

    9

    h-index

  4. GM
    Gerome Miklau

    University of Massachusetts Amherst, United States

    9 publications · 667 citations

    9

    h-index

  5. YY
    Yu‐Guang Yang

    Beijing University of Technology, China

    8 publications · 359 citations

    8

    h-index

1–5 of 883

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 15 publications · 1.1K citations

    14

    h-index

  2. arXiv (Cornell University)

    Repository · 21 publications · 320 citations

    13

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 11 publications · 538 citations

    11

    h-index

  4. IEEE Transactions on Dependable and Secure Computing

    TDSC · 11 publications · 362 citations

    11

    h-index

  5. 10

    h-index

1–5