D2P: Distance-Based Differential Privacy in Recommenders
Summary: Introduces distance-based differential privacy for recommenders, tailoring privacy to item similarity rather than exact profile indistinguishability. D2P replaces profile items with alternatives at controlled distances, evaluated analytically and on MovieLens/Jester. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Rachid Guerraoui (EPFL)
- 2. Anne-Marie Kermarrec (INRIA)
- 3. Rhicheek Patra (EPFL)
- 4. Mahsa Taziki (EPFL)
BibTeX Citation
@article{guerraoui_vldb15,
title = {{D2P: Distance-Based Differential Privacy in Recommenders}},
author = {Guerraoui, Rachid and Kermarrec, Anne-Marie and Patra, Rhicheek and Taziki, Mahsa},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {8},
doi = {10.14778/2757807.2757811},
url = {https://doi.org/10.14778/2757807.2757811},
year = {2015}
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