Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems With Machine Lear 2023
DOI: 10.1145/3617574.3617859
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MLGuard: Defend Your Machine Learning Model!

Sheng Wong,
Scott Barnett,
Jessica Rivera-Villicana
et al.

Abstract: Machine Learning (ML) is used in critical highly regulated and high-stakes fields such as finance, medicine, and transportation. The correctness of these ML applications is important for human safety and economic benefit. Progress has been made on improving ML testing and monitoring of ML. However, these approaches do not provide i) pre/post conditions to handle uncertainty, ii) defining corrective actions based on probabilistic outcomes, or iii) continual verification during system operation. In this paper, w… Show more

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