When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System

Xiao Liu, An Liu, Xiangliang Zhang, Zhixu Li, Guanfeng Liu, Lei Zhao, Xiaofang Zhou. When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System. In K. Selçuk Candan, Lei Chen 0002, Torben Bach Pedersen, Lijun Chang, Wen-hua, editors, Database Systems for Advanced Applications - 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part I. Volume 10177 of Lecture Notes in Computer Science, pages 576-591, Springer, 2017. [doi]

@inproceedings{LiuLZLLZZ17,
  title = {When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System},
  author = {Xiao Liu and An Liu and Xiangliang Zhang and Zhixu Li and Guanfeng Liu and Lei Zhao and Xiaofang Zhou},
  year = {2017},
  doi = {10.1007/978-3-319-55753-3_36},
  url = {http://dx.doi.org/10.1007/978-3-319-55753-3_36},
  researchr = {https://researchr.org/publication/LiuLZLLZZ17},
  cites = {0},
  citedby = {0},
  pages = {576-591},
  booktitle = {Database Systems for Advanced Applications - 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part I},
  editor = {K. Selçuk Candan and Lei Chen 0002 and Torben Bach Pedersen and Lijun Chang and Wen-hua},
  volume = {10177},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-55752-6},
}