SafeML: Safety Monitoring of Machine Learning Classifiers through
Statistical Difference Measure

SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure

27 May 2020

Koorosh Aslansefat

Ioannis Sorokos

Ramin Tavakoli Kolagari

Y. Papadopoulos

Papers citing "SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure"

15 / 15 papers shown

Title
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection Lynn Vonderhaar Timothy Elvira T. Procko Omar Ochoa 26 0 0 21 Jun 2024
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 37 6 0 12 Apr 2024
Scope Compliance Uncertainty Estimate Al-Harith Farhad Ioannis Sorokos Mohammed Naveed Akram Koorosh Aslansefat Daniel Schneider 24 0 0 17 Dec 2023
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers T. Zoppi Andrea Ceccarelli A. Bondavalli UQCV 27 0 0 23 Aug 2023
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand S. Ramesh 25 5 0 03 Aug 2023
Online Dynamic Reliability Evaluation of Wind Turbines based on Drone-assisted Monitoring Sohag Kabir Koorosh Aslansefat P. Gope F. Campean Y. Papadopoulos 11 1 0 23 Nov 2022
A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms Connor Walker Callum Rothon Koorosh Aslansefat Y. Papadopoulos Nina Dethlefs AI4CE 13 4 0 19 Jul 2022
SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities Koorosh Aslansefat Panagiota Nikolaou Martin Walker Mohammed Naveed Akram Ioannis Sorokos ... M. Michael T. Theocharides Georgios Ellinas D. Schneider Y. Papadopoulos 11 5 0 12 Jul 2022
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 27 3 0 11 Jul 2022
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 14 3 0 17 Jun 2022
Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components Michael Kläs Lisa Jöckel R. Adler Jan Reich 9 3 0 10 Feb 2022
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 17 65 0 26 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 27 21 0 20 Jul 2021
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks Marius Hobbhahn Agustinus Kristiadi Philipp Hennig BDL UQCV 74 31 0 02 Mar 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 37 374 0 21 Jan 2020