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Unifying Evaluation of Machine Learning Safety Monitors

Unifying Evaluation of Machine Learning Safety Monitors

31 August 2022
Joris Guérin
Raul Sena Ferreira
Kevin Delmas
Jérémie Guiochet
ArXivPDFHTML

Papers citing "Unifying Evaluation of Machine Learning Safety Monitors"

6 / 6 papers shown
Title
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Lars Ullrich
Zurab Mujirishvili
Knut Graichen
47
0
0
25 Apr 2025
Can we Defend Against the Unknown? An Empirical Study About Threshold
  Selection for Neural Network Monitoring
Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring
Khoi Tran Dang
Kevin Delmas
Jérémie Guiochet
Joris Guérin
30
0
0
14 May 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Jiayang Song
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
35
6
0
12 Apr 2024
Ensembling Uncertainty Measures to Improve Safety of Black-Box
  Classifiers
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers
T. Zoppi
Andrea Ceccarelli
A. Bondavalli
UQCV
22
0
0
23 Aug 2023
Out-Of-Distribution Detection Is Not All You Need
Out-Of-Distribution Detection Is Not All You Need
Joris Guérin
Kevin Delmas
Raul Sena Ferreira
Jérémie Guiochet
OODD
12
31
0
29 Nov 2022
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey
  of Emerging Trends
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Q. Rahman
Peter Corke
Feras Dayoub
OOD
19
40
0
05 Jan 2021
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