Work

Evaluating Robustness of Learning-Enabled Medical Cyber-Physical Systems with Naturally Adversarial Datasets

Year: 2025

Type: article

Source: ACM Transactions on Cyber-Physical Systems

DOI: 10.1145/3734695

Authors: Sydney Pugh, Ivan Ruchkin, James Weimer, Insup Lee

Institutions: University of Pennsylvania, University of Florida, Vanderbilt University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, U.S. Department of Defense

OpenAlex ID: W4410156235

FWCI:

Cites: 47

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Related to: 10