A survey on adversarial attacks and defenses for object detection and their applications in autonomous vehicles
Object detection is considered as one of the most important applications of deep learning.
However, the object detection techniques lose their effectiveness and reliability when they …
However, the object detection techniques lose their effectiveness and reliability when they …
Detecting adversarial samples by noise injection and denoising
H Zhang, X Zhang, Y Sun, L Ji - Image and Vision Computing, 2024 - Elsevier
Deep learning models are highly vulnerable to adversarial examples, leading to significant
attention on techniques for detecting them. However, current methods primarily rely on …
attention on techniques for detecting them. However, current methods primarily rely on …
A Robust and Secure Edge-Based AI System Against Adversarial Attacks
SA Sørensen - 2023 - oda.oslomet.no
Ensuring the safe deployment and use of artificial intelligence (AI) in safety-critical systems
is crucial in the reality of effective adversarial attacks (AAs). AAs involve manipulating the …
is crucial in the reality of effective adversarial attacks (AAs). AAs involve manipulating the …