Secure Recommendation

Secure Recommendation is a recommendation approach that belongs to the class of trust-preserving computational methods, distinguished by its explicit integration of security mechanisms to protect against adversarial attacks, data poisoning, and privacy breaches during the recommendation process.

207

Publications

10.6K

Citations

592

Authors

271

Institutions

Publications per year

2017–2026

111

Authors

592

  1. BM
    Bamshad Mobasher

    DePaul University, United States

    9 publications · 1.3K citations

    9

    h-index

  2. RB
    Robin Burke

    DePaul University, United States

    8 publications · 1.3K citations

    8

    h-index

  3. CW
    Chad Williams

    DePaul University, United States

    7 publications · 1.1K citations

    7

    h-index

  4. RB
    Runa Bhaumik

    University of Illinois Chicago, United States

    7 publications · 1.2K citations

    7

    h-index

  5. MG
    Min Gao

    Chongqing University, China

    6 publications · 287 citations

    6

    h-index

1–5 of 592

Venues

  1. IEEE Access

    7 publications · 157 citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 330 citations

    6

    h-index

  3. Future Generation Computer Systems

    FGCS · 4 publications · 146 citations

    5

    h-index

  4. 5

    h-index

  5. Knowledge-Based Systems

    4 publications · 270 citations

    4

    h-index

1–5