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Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type
  Conscious Transformation

Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type Conscious Transformation

4 May 2022
Bishwas Mandal
G. Amariucai
Shuangqing Wei
ArXivPDFHTML

Papers citing "Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type Conscious Transformation"

5 / 5 papers shown
Title
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular
  Data Using GPT-4
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4
Bishwas Mandal
G. Amariucai
Shuangqing Wei
33
1
0
07 Apr 2024
Robust Representation Learning for Privacy-Preserving Machine Learning:
  A Multi-Objective Autoencoder Approach
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach
Sofiane Ouaari
Ali Burak Ünal
Mete Akgun
Nícolas Pfeifer
32
0
0
08 Sep 2023
Generative Adversarial Privacy
Generative Adversarial Privacy
Chong Huang
Peter Kairouz
Xiao Chen
Lalitha Sankar
Ram Rajagopal
PICV
63
42
0
13 Jul 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
On Maximal Correlation, Mutual Information and Data Privacy
On Maximal Correlation, Mutual Information and Data Privacy
S. Asoodeh
F. Alajaji
Tamás Linder
26
48
0
08 Oct 2015
1