International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

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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