Inference under Information Constraints III: Local Privacy Constraints. Acharya, J., Canonne, C. L., Freitag, C., Sun, Z., & Tyagi, H. 2020. Accepted to the IEEE Journal on Selected Areas in Information Theory (JSAIT). Preprint available at arXiv:abs/1808.02174; Conference version in AISTATS'19
[ACFST20] Focuses on the local privacy constraints (ρ-LDP), and provides public- and private-coin protocols for identity testing, and private-coin protocols for learning which match the lower bounds from [ACT20a]. Also contains lower bounds for independence testing under LDP.

bibtex   
@misc{ACFST19,
  author    = {Jayadev Acharya and
               Cl{\'{e}}ment L. Canonne and
              Cody Freitag and Ziteng Sun
              and Himanshu Tyagi},
  title     = {Inference under Information Constraints {III}: Local Privacy Constraints},
  note = {Accepted to the IEEE Journal on Selected Areas in Information Theory (JSAIT). Preprint available at arXiv:abs/1808.02174; Conference version in {AISTATS'19}},
  year      = {2020},
  bibbase_note = {<div class="well well-small bibbase"><span class="bluecite">[ACFST20]</span> Focuses on the local privacy constraints (ρ-LDP), and provides public- and private-coin protocols for identity testing, and private-coin protocols for learning which match the lower bounds from [ACT20a]. Also contains lower bounds for independence testing under LDP.</div>}
}

Downloads: 0