About this document
Adversarial Attacks in Medical Imaging by Lokesh M is a document available to read on EtoBox.
This document presents a comprehensive review of adversarial attacks and defense mechanisms in medical imaging, highlighting the vulnerabilities of machine learning algorithms to adversarial inputs that can lead to misdiagnosis. It discusses various types of adversarial attacks, including white-box and black-box attacks, and outlines defense strategies such as adversarial training and image-level preprocessing. The study emphasizes the importance of developing robust defense mechanisms to ensure the accurac
- Author
- Lokesh M
- Language
- EN