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Risk Assessment for Machine Learning Models

Risk Assessment for Machine Learning Models

9 November 2020
Paul Schwerdtner
Florens Greßner
Nikhil Kapoor
F. Assion
René Sass
W. Günther
Fabian Hüger
Peter Schlicht
ArXiv (abs)PDFHTML

Papers citing "Risk Assessment for Machine Learning Models"

4 / 4 papers shown
A Two-Sided Discussion of Preregistration of NLP Research
A Two-Sided Discussion of Preregistration of NLP ResearchConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Anders Søgaard
Daniel Hershcovich
Miryam de Lhoneux
OnRLAI4CE
238
4
0
20 Feb 2023
Selecting Models based on the Risk of Damage Caused by Adversarial
  Attacks
Selecting Models based on the Risk of Damage Caused by Adversarial Attacks
Jona Klemenc
Holger Trittenbach
AAML
201
1
0
28 Jan 2023
Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers
Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers
George J. Siedel
S. Vock
Andrey Morozov
Stefan Voss
170
4
0
27 Jun 2022
A Software Engineering Perspective on Engineering Machine Learning
  Systems: State of the Art and Challenges
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and ChallengesJournal of Systems and Software (JSS), 2020
G. Giray
417
164
0
14 Dec 2020
1
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