Securing The Deep Learning-Based Object Detection System In Self Driving Cars Against Adversarial Example Attacks
| dc.contributor.advisor | اولاتونجي، سانداي اولاسانيا | |
| dc.contributor.author | Elaalami, Ilham Abdulqader | |
| dc.date.accessioned | 2024-01-09T17:40:30Z | |
| dc.date.available | 2024-01-09T17:40:30Z | |
| dc.date.issued | 2020 | |
| dc.degree.department | Computer Science Department | |
| dc.degree.grantor | Imam Abdulrahman Bin Faisal University | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14154/70884 | |
| dc.language.iso | en | |
| dc.publisher | Imam Abdulrahman Bin Faisal University | |
| dc.subject | Self-driving cars | |
| dc.subject | artificial intelligence | |
| dc.subject | Computer Science | |
| dc.title | Securing The Deep Learning-Based Object Detection System In Self Driving Cars Against Adversarial Example Attacks | |
| dc.type | Thesis | |
| sdl.degree.name | Master's Degree |