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◆ International Journal of Technology2026-07-31· Adversarial system

Adaptive Gradient Shielding for Consistent Defense Against Adversarial Attacks in Deep Learning

Qais S. Qassim, Wilfred B. N. Reginal, Dilwar I. Mazunder, Samuel B. Sangeetha, Yuvaraj Natarajan, Arshath R. Rajan

原始摘要(英文原文)· Original abstract
Deep learning models are highly vulnerable to adversarial perturbations, posing serious risks in critical domains such as healthcare, autonomous systems, and cybersecurity. This has motivated the need for robust defenses that maintain reliabilit
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Adaptive Gradient Shielding for Consistent Defense Against Adversarial Attacks in Deep Learning — 科研速览 Science Skim