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Logically Sound Arguments for the Effectiveness of ML Safety Measures

Logically Sound Arguments for the Effectiveness of ML Safety Measures

4 November 2021
Chih-Hong Cheng
Tobias Schuster
Simon Burton
    AAML
ArXivPDFHTML

Papers citing "Logically Sound Arguments for the Effectiveness of ML Safety Measures"

4 / 4 papers shown
Title
The Safety Shell: an Architecture to Handle Functional Insufficiencies
  in Automated Driving
The Safety Shell: an Architecture to Handle Functional Insufficiencies in Automated Driving
C. Hanselaar
E. Silvas
A. Terechko
W. Heemels
14
5
0
20 Oct 2023
Towards Rigorous Design of OoD Detectors
Towards Rigorous Design of OoD Detectors
Chih-Hong Cheng
Changshun Wu
Harald Ruess
Saddek Bensalem
OODD
11
0
0
14 Jun 2023
Unaligned but Safe -- Formally Compensating Performance Limitations for
  Imprecise 2D Object Detection
Unaligned but Safe -- Formally Compensating Performance Limitations for Imprecise 2D Object Detection
Tobias Schuster
Emmanouil Seferis
Simon Burton
Chih-Hong Cheng
11
6
0
10 Feb 2022
A Safety Framework for Critical Systems Utilising Deep Neural Networks
A Safety Framework for Critical Systems Utilising Deep Neural Networks
Xingyu Zhao
Alec Banks
James Sharp
Valentin Robu
David Flynn
Michael Fisher
Xiaowei Huang
AAML
50
47
0
07 Mar 2020
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