A survey on adversarial attacks and defenses for object detection and their applications in autonomous vehicles

A Amirkhani, MP Karimi, A Banitalebi-Dehkordi - The Visual Computer, 2023 - Springer
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 …

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 …

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 …