Safeguarding Medical AI: Insights and Addressing Adversarial Threats in Consumer Electronics

The unprecedented success of artificial intelligence (AI), machine learning, deep learning, and Internet of Things technologies in the medical field has revolutionized healthcare systems across the globe. As a powerful computer vision and image processing tool, AI has leveraged early and accurate diagnosis of diseases facilitating early interventions of medical professionals. The consumer electronics (CE) in the medical arena range from smart wearable devices to sophisticated tools, which monitor medical signals, such as electroencephalogram and electrocardiogram, and capture radiographic images, such as magnetic resonance imaging, which act as biomarkers for medical analysis. However, with its emergence, an associated problem has also surfaced in the form of its vulnerability to adversarial attacks. This work highlights different ways in which undetectable adversarial attacks pose a threat to the medical CE ecosystem. We simultaneously explore methods to mitigate the vulnerability of our medical domain against such attacks.