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AI Driven Medical Diagnostics with Improved Robustness to Adversarial Perturbations

Year: 2025

Type: conference-paper

Source: International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

DOI: 10.1109/acdsa65407.2025.11166241

Authors: Ahmeed Yinusa, Misa Faezipour

Institution: Middle Tennessee State University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4414463232

FWCI:

Cites: 18

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