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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 12.3 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.52 MB | Adobe PDF | View/Open | |
03_content.pdf | 410.08 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 204.58 kB | Adobe PDF | View/Open | |
05_chapter-1.pdf | 353.41 kB | Adobe PDF | View/Open | |
06_chapter-2.pdf | 588.42 kB | Adobe PDF | View/Open | |
07_chapter-3.pdf | 838.12 kB | Adobe PDF | View/Open | |
08_chapter-4.pdf | 890.43 kB | Adobe PDF | View/Open | |
09_chapter-5.pdf | 665.37 kB | Adobe PDF | View/Open | |
10_chapter-6.pdf | 1.25 MB | Adobe PDF | View/Open | |
11_annexures.pdf | 456.79 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 215.69 kB | Adobe PDF | View/Open |
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