Search Results for author: Nathan Aschbacher

Found 1 papers, 0 papers with code

Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search

no code implementations31 Jan 2023 Sepehr Sharifi, Donghwan Shin, Lionel C. Briand, Nathan Aschbacher

In Machine Learning (ML)-enabled autonomous systems (MLASs), it is essential to identify the hazard boundary of ML Components (MLCs) in the MLAS under analysis.

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