Improving Security-Sensitive Deep Learning Models through Adversarial Training and Hybrid Defense Mechanisms

Deep learning models have achieved remarkable success in healthcare, finance, and autonomous systems, yet their security vulnerabilities to adversarial attacks remain a critical challenge. This paper presents a novel dual-pha... | Find, read and cite all the research you need on Tech Science Press