Difference between revisions of "Adversarial Learning"
Jump to navigation
Jump to search
(Created page with "This is a page for the information on Sirakorn's senior project, '''Cluster Method to Strengthen Adversarial Defence on Deep Learning Models'''. = Project report = The projec...") |
|||
| Line 1: | Line 1: | ||
This is a page for the information on Sirakorn's senior project, '''Cluster Method to Strengthen Adversarial Defence on Deep Learning Models'''. | This is a page for the information on Sirakorn's senior project, '''Cluster Method to Strengthen Adversarial Defence on Deep Learning Models'''. | ||
| − | = Project report = | + | == Project report == |
The project report is available in PDF, obtainable from [https://github.com/srakrnxKU/204495-report/blob/master/project.pdf GitHub]. Also, source codes for the LaTeX document is also provided in the same repository. | The project report is available in PDF, obtainable from [https://github.com/srakrnxKU/204495-report/blob/master/project.pdf GitHub]. Also, source codes for the LaTeX document is also provided in the same repository. | ||
| − | = Source codes = | + | == Presentation slide == |
| + | The presentation slide is as provided [[File:ClustRe_Presentation.pdf|here]] | ||
| + | |||
| + | == Source codes == | ||
The codes used for the experiment can be found in this [https://github.com/srakrnxKU/adversarial-project/ GitHub repository]. Codes are released under MIT. | The codes used for the experiment can be found in this [https://github.com/srakrnxKU/adversarial-project/ GitHub repository]. Codes are released under MIT. | ||
Revision as of 19:01, 15 March 2020
This is a page for the information on Sirakorn's senior project, Cluster Method to Strengthen Adversarial Defence on Deep Learning Models.
Project report
The project report is available in PDF, obtainable from GitHub. Also, source codes for the LaTeX document is also provided in the same repository.
Presentation slide
The presentation slide is as provided File:ClustRe Presentation.pdf
Source codes
The codes used for the experiment can be found in this GitHub repository. Codes are released under MIT.
