Adversarial Attack in Traffic sign Identification using Deep Learning Frameworks

Author(s)	Dr. Yashaswini S, Dr.Jayanthi M G
Country	India
Abstract	Deep learning frameworks promote the development of artificial intelligence and demonstrate considerable potential in numerous applications. However, the security issues of deep learning frameworks are among the main risks preventing the wide application of it. Attacks on deep learning frameworks by malicious internal or external attackers would exert substantial effects on society and life. We start with a description of the framework of deep learning algorithms and a detailed analysis of attacks and vulnerabilities in them.
Keywords	: Deep Learning, AI, malicious comprehensive classification, security issues
Field	Engineering
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-05-18
Cite This	Adversarial Attack in Traffic sign Identification using Deep Learning Frameworks - Dr. Yashaswini S, Dr.Jayanthi M G - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20386
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.20386
Short DOI	https://doi.org/gtvtz6

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International Journal For Multidisciplinary Research