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On the Limitations of Model Stealing with Uncertainty Quantification
  Models

On the Limitations of Model Stealing with Uncertainty Quantification Models

9 May 2023
David Pape
Sina Daubener
Thorsten Eisenhofer
Antonio Emanuele Cinà
Lea Schonherr
ArXivPDFHTML

Papers citing "On the Limitations of Model Stealing with Uncertainty Quantification Models"

4 / 4 papers shown
Title
Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
AAML
44
0
0
08 Mar 2025
Understanding the Process of Data Labeling in Cybersecurity
Understanding the Process of Data Labeling in Cybersecurity
Tobias Braun
Irdin Pekaric
Giovanni Apruzzese
20
4
0
28 Nov 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1