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Beyond Input Stability: Redefining Adversarial Robustness in Embedded Medical AI

2026-03-05

Abstract excerpt

<title>Abstract</title> <p>Current approaches to adversarial robustness in embedded medical AI inherit definitions from general-purpose machine learning— chiefly, stability under small input perturbations measured by Lp norms. We argue this is fundamentally insufficient for life-critical diagnostic devices. Using cardiac wearables with embedded ECG classifiers as our case study, we demonstrate that the adversaria...

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Literature Corpus work
8ff36454-0e52-5ba0-9b9e-aca8af86d22d
DOI
10.21203/rs.3.rs-9030126/v1
Open publication

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