Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/590710
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-09-23T05:19:53Z | - |
dc.date.available | 2024-09-23T05:19:53Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/590710 | - |
dc.description.abstract | newline | |
dc.format.extent | xii, 107 | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Novel Approaches to Passive Image Forgery Detection and Adversarial Attacks Investigation | |
dc.title.alternative | ||
dc.creator.researcher | Dhanaraj, Rachel Selva | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Sridevi, M | |
dc.publisher.place | Tiruchirappalli | |
dc.publisher.university | National Institute of Technology Tiruchirappalli | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | ||
dc.date.completed | 2024 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 132.84 kB | Adobe PDF | View/Open |
02_prelim.pdf | 377 kB | Adobe PDF | View/Open | |
03_content.pdf | 300.51 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 266.04 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 1.09 MB | Adobe PDF | View/Open | |
06_chapter2.pdf | 4.14 MB | Adobe PDF | View/Open | |
07_chapter3.pdf | 3.89 MB | Adobe PDF | View/Open | |
08_chapter4.pdf | 3.58 MB | Adobe PDF | View/Open | |
09_chapter5.pdf | 3.02 MB | Adobe PDF | View/Open | |
10_chapter6.pdf | 2.86 MB | Adobe PDF | View/Open | |
11_annexures.pdf | 2.73 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 788.08 kB | Adobe PDF | View/Open |
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