Analysis of the vulnerability of YOLO neural network models to the Fast Sign Gradient Method attack
The analysis of formalized conditions for creating universal images falsely classified by computer vision algorithms, called adversarial examples, on YOLO neural network models is presented. The pattern of successful creation of a universal destructive image depending on the generated dataset on whi...
Saved in:
| Published in: | Nauchno-tekhnicheskiĭ vestnik informat͡s︡ionnykh tekhnologiĭ, mekhaniki i optiki Vol. 24; no. 6; pp. 1066 - 1070 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
ITMO University
01.12.2024
|
| Subjects: | |
| ISSN: | 2226-1494, 2500-0373 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!