Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access

Martin Aumüller 0001, Christian Janos Lebeda, Rasmus Pagh. Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access. In Yongdae Kim, Jong Kim 0001, Giovanni Vigna, Elaine Shi, editors, CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15 - 19, 2021. pages 1223-1236, ACM, 2021. [doi]

@inproceedings{0001LP21,
  title = {Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access},
  author = {Martin Aumüller 0001 and Christian Janos Lebeda and Rasmus Pagh},
  year = {2021},
  doi = {10.1145/3460120.3484735},
  url = {https://doi.org/10.1145/3460120.3484735},
  researchr = {https://researchr.org/publication/0001LP21},
  cites = {0},
  citedby = {0},
  pages = {1223-1236},
  booktitle = {CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15 - 19, 2021},
  editor = {Yongdae Kim and Jong Kim 0001 and Giovanni Vigna and Elaine Shi},
  publisher = {ACM},
  isbn = {978-1-4503-8454-4},
}