State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
J Fang, Y Jiang, C Jiang, ZL Jiang, C Liu… - Expert Systems with …, 2024 - Elsevier
Adversarial attacks can mislead deep learning models to make false predictions by
implanting small perturbations to the original input that are imperceptible to the human eye …
implanting small perturbations to the original input that are imperceptible to the human eye …
Mathematical Camera Array Optimization for Face 3D Modeling Application
Camera network design is a challenging task for many applications in photogrammetry,
biomedical engineering, robotics, and industrial metrology, among other fields. Many driving …
biomedical engineering, robotics, and industrial metrology, among other fields. Many driving …
Enhancing Generalization in Few-Shot Learning for Detecting Unknown Adversarial Examples
W Liu, W Zhang, K Yang, Y Chen, K Guo… - Neural Processing …, 2024 - Springer
Deep neural networks, particularly convolutional neural networks, are vulnerable to
adversarial examples, undermining their reliability in visual recognition tasks. Adversarial …
adversarial examples, undermining their reliability in visual recognition tasks. Adversarial …