Deep learning models for electrocardiograms are susceptible to adversarial attack

Xintian Han
Xintian Han
Yuxuan Hu
Yuxuan Hu
Luca Foschini
Luca Foschini
Lior Jankelson
Lior Jankelson

NATURE MEDICINE, pp. 360-+, 2020.

Cited by: 0|Views15
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Abstract:

The development of an algorithm that can imperceptibly manipulate electrocardiographic data to fool a deep learning model for diagnosing cardiac arrhythmia highlights the potential vulnerability of artificial intelligence-enabled diagnosis to adversarial attacks. Electrocardiogram (ECG) acquisition is increasingly widespread in medical an...More

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