6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.SE2022
Facilitating Change Implementation for Continuous ML-Safety Assurance
Chih-Hong Cheng, Nguyen Anh Vu Doan, Balahari Balu +9
We propose a method for deploying a safety-critical machine-learning component into continuously evolving environments where an increased degree of automation in the engineering pr…
cs.SE2022★ 6 cited
A causal model of safety assurance for machine learning
Simon Burton
This paper proposes a framework based on a causal model of safety upon which effective safety assurance cases for ML-based applications can be built. In doing so, we build upon est…
cs.LO2021
Logically Sound Arguments for the Effectiveness of ML Safety Measures
Chih-Hong Cheng, Tobias Schuster, Simon Burton
We investigate the issues of achieving sufficient rigor in the arguments for the safety of machine learning functions. By considering the known weaknesses of DNN-based 2D bounding…