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All Journal Faktor Exacta
Siregar, Amril Mutoi
Institut Teknologi Sains Bandung
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Ketahanan Pembelajaran Mesin terhadap Adversarial examples: Metodologi dan Pertahanan Kurniawan, Ade; Aprilia, Ely; Aulia, Achmad Indra; Siregar, Amril Mutoi; Goeirmanto, Leonard
Faktor Exacta Vol 18, No 2 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i2.26078

Abstract

This paper examines the vulnerability of machine learning models to adversarial examples: inputs that are subtly manipulated to deceive a model into making incorrect predictions. Although deep learning has demonstrated remarkable performance across various tasks, the security of these models remains a significant challenge. This study provides a comprehensive review of various methods for generating adversarial examples, a classification of attack techniques, and corresponding defense strategies, including both active and passive approaches. The findings indicate that a combination of several defense techniques is significantly more effective in enhancing model robustness compared to any single approach. This research is expected to provide a foundation for the development of more secure and reliable machine learning models for critical applications.
Co-Authors Aprilia, Ely Aulia, Achmad Indra Goeirmanto, Leonard Kurniawan, Ade