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Scope Compliance Uncertainty Estimate

Scope Compliance Uncertainty Estimate

17 December 2023
Al-Harith Farhad
Ioannis Sorokos
Mohammed Naveed Akram
Koorosh Aslansefat
Daniel Schneider
ArXiv (abs)PDFHTML

Papers citing "Scope Compliance Uncertainty Estimate"

9 / 9 papers shown
Title
Keep your Distance: Determining Sampling and Distance Thresholds in
  Machine Learning Monitoring
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring
Al-Harith Farhad
Ioannis Sorokos
Andreas Schmidt
Mohammed Naveed Akram
Koorosh Aslansefat
Daniel Schneider
88
3
0
11 Jul 2022
StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based
  Forecasting using Statistical Distance Measures
StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based Forecasting using Statistical Distance Measures
Mohammed Naveed Akram
Akshatha Ambekar
Ioannis Sorokos
Koorosh Aslansefat
Daniel Schneider
OOD
43
3
0
17 Jun 2022
Efficient Certification of Spatial Robustness
Efficient Certification of Spatial Robustness
Anian Ruoss
Maximilian Baader
Mislav Balunović
Martin Vechev
AAML
56
26
0
19 Sep 2020
SafeML: Safety Monitoring of Machine Learning Classifiers through
  Statistical Difference Measure
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure
Koorosh Aslansefat
Ioannis Sorokos
D. Whiting
Ramin Tavakoli Kolagari
Y. Papadopoulos
53
38
0
27 May 2020
Importance-Driven Deep Learning System Testing
Importance-Driven Deep Learning System Testing
Simos Gerasimou
Hasan Ferit Eniser
A. Sen
Alper Çakan
AAMLVLM
80
98
0
09 Feb 2020
Detection and Mitigation of Rare Subclasses in Deep Neural Network
  Classifiers
Detection and Mitigation of Rare Subclasses in Deep Neural Network Classifiers
Colin Paterson
R. Calinescu
Chiara Picardi
61
4
0
28 Nov 2019
A Provable Defense for Deep Residual Networks
A Provable Defense for Deep Residual Networks
M. Mirman
Gagandeep Singh
Martin Vechev
44
26
0
29 Mar 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OODVLM
174
3,435
0
28 Mar 2019
Artificial Intelligence Safety and Cybersecurity: a Timeline of AI
  Failures
Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures
Roman V. Yampolskiy
M. S. Spellchecker
33
86
0
25 Oct 2016
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