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Mitigating Adversarial Attack through Randomization Techniques and Image Smoothing

Year: 2025

Type: article

Abstract: Adversarial attacks pose a significant threat to artificial intelligence systems by exposing them to vulnerabilities in deep learning models. Existing defense mechanisms often suffer drawbacks, such as the need for model retr... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.067024

Authors: Hyeong-Gyeong Kim, Sang-Min Choi, Hyeon Seo, Suwon Lee

Institution: Gyeongsang National University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Gyeongsang National University

OpenAlex ID: W4411831564