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An end-to-end Differentially Private Latent Dirichlet Allocation Using a
  Spectral Algorithm

An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm

25 May 2018
Christopher DeCarolis
Mukul Ram
Seyed-Alireza Esmaeili
Yu-Xiang Wang
Furong Huang
    FedML
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Papers citing "An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm"

4 / 4 papers shown
Title
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Fengyu Gao
Ruida Zhou
T. Wang
Cong Shen
Jing Yang
31
2
0
15 Oct 2024
Membership Inference Attacks and Privacy in Topic Modeling
Membership Inference Attacks and Privacy in Topic Modeling
Nico Manzonelli
Wanrong Zhang
Salil P. Vadhan
37
1
0
07 Mar 2024
Distributed Differentially-Private Algorithms for Matrix and Tensor
  Factorization
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization
H. Imtiaz
Anand D. Sarwate
OOD
9
29
0
26 Apr 2018
Variational Bayes In Private Settings (VIPS)
Variational Bayes In Private Settings (VIPS)
Mijung Park
James R. Foulds
Kamalika Chaudhuri
Max Welling
21
42
0
01 Nov 2016
1