[LMSS22] Securing Approximate Homomorphic Encryption Using Differential Privacy

Authors: Baiyu Li, Daniele Micciancio, Mark Schultz, Jessica Sorrell | Venue: CRYPTO 2022 | Source

Abstract

TODO — abstract.

BibTeX

@Inproceedings{C:LMSS22,
  author = {Baiyu Li and Daniele Micciancio and Mark Schultz and Jessica Sorrell},
  title = {Securing Approximate Homomorphic Encryption Using Differential Privacy},
  pages = {560--589},
  editor = {Yevgeniy Dodis and Thomas Shrimpton},
  booktitle = {Advances in Cryptology -- {CRYPTO}~2022, Part~I},
  volume = {13507},
  series = {Lecture Notes in Computer Science},
  address = {Santa Barbara, CA, USA},
  month = {aug~15--18},
  publisher = {Springer, Cham, Switzerland},
  year = {2022},
  doi = {10.1007/978-3-031-15802-5_20},
}