Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/588587
Title: Vulnerability Assessment and Computationally Efficient Solution for Protecting Adversarial Deep Learning Attacks Using Parallelism
Researcher: Ingle, Ganesh Balbhim
Guide(s): Pawale, Sanjesh
Keywords: Computer Science Information Systems, Engineering and Technology
Genetic Algorithm, Computer Science, Machine learning
Graph Neural Networks, Adversarial Attacks, K Means Clustering
University: Vishwakarma University
Completed Date: 2024
Pagination: page numbers 130
URI: http://hdl.handle.net/10603/588587
Appears in Departments:Computer Engineering

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01_title.pdfAttached File12.3 kBAdobe PDFView/Open
02_prelim pages.pdf1.52 MBAdobe PDFView/Open
03_content.pdf410.08 kBAdobe PDFView/Open
04_abstract.pdf204.58 kBAdobe PDFView/Open
05_chapter-1.pdf353.41 kBAdobe PDFView/Open
06_chapter-2.pdf588.42 kBAdobe PDFView/Open
07_chapter-3.pdf838.12 kBAdobe PDFView/Open
08_chapter-4.pdf890.43 kBAdobe PDFView/Open
09_chapter-5.pdf665.37 kBAdobe PDFView/Open
10_chapter-6.pdf1.25 MBAdobe PDFView/Open
11_annexures.pdf456.79 kBAdobe PDFView/Open
80_recommendation.pdf215.69 kBAdobe PDFView/Open
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