Physical adversarial attack meets computer vision: A decade survey

H Wei, H Tang, X Jia, Z Wang, H Yu, Z Li… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
Despite the impressive achievements of Deep Neural Networks (DNNs) in computer vision,
their vulnerability to adversarial attacks remains a critical concern. Extensive research has …

Computer vision on x-ray data in industrial production and security applications: A comprehensive survey

M Rafiei, J Raitoharju, A Iosifidis - Ieee Access, 2023 - ieeexplore.ieee.org
X-ray imaging technology has been used for decades in clinical tasks to reveal the internal
condition of different organs, and in recent years, it has become more common in other …

{X-Adv}: Physical adversarial object attacks against x-ray prohibited item detection

A Liu, J Guo, J Wang, S Liang, R Tao, W Zhou… - 32nd USENIX Security …, 2023 - usenix.org
Adversarial attacks are valuable for evaluating the robustness of deep learning models.
Existing attacks are primarily conducted on the visible light spectrum (eg, pixel-wise texture …

Accurate lora-finetuning quantization of llms via information retention

H Qin, X Ma, X Zheng, X Li, Y Zhang, S Liu… - ar** detr for x-ray prohibited items detection
M Li, T Jia, H Wang, B Ma, H Lu, S Lin… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
Prohibited item detection in X-ray images is one of the most essential and highly effective
methods widely employed in various security inspection scenarios. Considering the …