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Quantifying identifiability to choose and audit ε in differentially private deep learning.
Daniel Bernau
Günther Eibl
Philip-William Grassal
Hannah Keller
Florian Kerschbaum
Published in:
CoRR (2021)
Keyphrases
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deep learning
differentially private
differential privacy
unsupervised learning
unsupervised feature learning
machine learning
intrusion detection
mental models
weakly supervised
privacy preserving
dimensionality reduction
data mining techniques
named entities
object categories