Simon Burton

Orcid: 0000-0001-9040-8752

Affiliations:
  • Fraunhofer Institute for Cognitive Systems (IKS), Munich, Germany
  • University of York, UK


According to our database1, Simon Burton authored at least 30 papers between 1998 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Safeguarding Learning-based Control for Smart Energy Systems with Sampling Specifications.
Proceedings of the 28th IEEE Pacific Rim International Symposium on Dependable Computing, 2023

SafeSens - Uncertainty Quantification of Complex Perception Systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Can Conformal Prediction Obtain Meaningful Safety Guarantees for ML Models?
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Statistical Property Testing for Generative Models.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

AI for Safety: How to use Explainable Machine Learning Approaches for Safety Analyses.
Proceedings of the IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning (AISafety-SafeRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence(IJCAI2023), 2023

Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning.
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022
Facilitating Change Implementation for Continuous ML-Safety Assurance.
CoRR, 2022

Unaligned but Safe - Formally Compensating Performance Limitations for Imprecise 2D Object Detection.
CoRR, 2022

Safe AI - How is this Possible?
CoRR, 2022

A causal model of safety assurance for machine learning.
CoRR, 2022

Formally Compensating Performance Limitations for Imprecise 2D Object Detection.
Proceedings of the Computer Safety, Reliability, and Security, 2022

Logically Sound Arguments for the Effectiveness of ML Safety Measures.
Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops, 2022

Automating Safety Argument Change Impact Analysis for Machine Learning Components.
Proceedings of the 27th IEEE Pacific Rim International Symposium on Dependable Computing, 2022

Safety Assessment: From Black-Box to White-Box.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

2021
Safety, Complexity, and Automated Driving: Holistic Perspectives on Safety Assurance.
Computer, 2021

Safety Assurance of Machine Learning for Chassis Control Functions.
Proceedings of the Computer Safety, Reliability, and Security, 2021

Dynamic Risk Management for Safely Automating Connected Driving Maneuvers.
Proceedings of the 17th European Dependable Computing Conference, 2021

Invited: Hardware/Software Co-Synthesis and Co-Optimization for Autonomous Systems.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
Mind the gaps: Assuring the safety of autonomous systems from an engineering, ethical, and legal perspective.
Artif. Intell., 2020

2019
Confidence Arguments for Evidence of Performance in Machine Learning for Highly Automated Driving Functions.
Proceedings of the Computer Safety, Reliability, and Security, 2019

2018
Challenges in Assuring Highly Complex, High Volume Safety-Critical Software.
Proceedings of the Computer Safety, Reliability, and Security, 2018

Structuring Validation Targets of a Machine Learning Function Applied to Automated Driving.
Proceedings of the Computer Safety, Reliability, and Security, 2018

Semi-automatic safety analysis and optimization.
Proceedings of the 55th Annual Design Automation Conference, 2018

2017
Making the Case for Safety of Machine Learning in Highly Automated Driving.
Proceedings of the Computer Safety, Reliability, and Security, 2017

2016
Dependability Challenges in the Model-Driven Engineering of Automotive Systems.
Proceedings of the 2016 IEEE International Symposium on Software Reliability Engineering Workshops, 2016

2012
Automotive functional safety = safety + security.
Proceedings of the First International Conference on Security of Internet of Things, 2012

2005
Detecting and resolving semantic pathologies in UML sequence diagrams.
Proceedings of the 10th European Software Engineering Conference held jointly with 13th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2005

2002
Automated generation of high-integrity test suites from graphical specifications.
PhD thesis, 2002

2001
A Family-Oriented Software Development Process for Engine Controllers.
Proceedings of the Product Focused Software Process Improvement, 2001

1998
Towards Industrially Applicable Formal Methods: Three Small Steps and One Giant Leap.
Proceedings of the Second IEEE International Conference on Formal Engineering Methods, 1998


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