An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications

31 January 2023

Papers citing "An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications"

5 / 5 papers shown

Title
RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems Krishna Ronanki Beatriz Cabrero-Daniel Jennifer Horkoff C. Berger 11 7 0 29 May 2023
VEDLIoT -- Next generation accelerated AIoT systems and applications Kevin Mika R. Griessl N. Kucza F. Porrmann M. Kaiser ... Mario Porrmann Hans-Martin Heyn E. Knauss Yufei Mao Franz Meierhofer 14 2 0 09 May 2023
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 119 119 0 16 Jul 2021
MLDemon: Deployment Monitoring for Machine Learning Systems Antonio A. Ginart Martin Jinye Zhang James Y. Zou 37 18 0 28 Apr 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019