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Privacy Amplification via Shuffled Check-Ins

Privacy Amplification via Shuffled Check-Ins

7 June 2022
Seng Pei Liew
Satoshi Hasegawa
Tsubasa Takahashi
    FedML
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Papers citing "Privacy Amplification via Shuffled Check-Ins"

4 / 4 papers shown
Title
Composition of Differential Privacy & Privacy Amplification by
  Subsampling
Composition of Differential Privacy & Privacy Amplification by Subsampling
Thomas Steinke
56
49
0
02 Oct 2022
Practical and Private (Deep) Learning without Sampling or Shuffling
Practical and Private (Deep) Learning without Sampling or Shuffling
Peter Kairouz
Brendan McMahan
Shuang Song
Om Thakkar
Abhradeep Thakurta
Zheng Xu
FedML
180
154
0
26 Feb 2021
Amplification by Shuffling: From Local to Central Differential Privacy
  via Anonymity
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
141
420
0
29 Nov 2018
Prochlo: Strong Privacy for Analytics in the Crowd
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
88
278
0
02 Oct 2017
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