학술논문
A Survey of Attacks and Defenses for Deep Neural Networks
Document Type
Conference
Source
2023 IEEE International Conference on Cyber Security and Resilience (CSR) Cyber Security and Resilience (CSR), 2023 IEEE International Conference on. :254-261 Jul, 2023
Subject
Language
Abstract
This survey provides an overview of adversarial attacks and defenses for deep neural networks. We discuss the taxonomies of attacks on Machine learning systems and common algorithms for generating attacks. We also present a taxonomy of defense techniques for adversarial machine learning. Using the information in this paper, researchers can make an informed decision on creating secure models in machine learning. Based on the reviewed literature, we foresee promising paths for future research.