Search Results for author:
Found 2 papers, 1 papers with code
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
We find that concealing deformation perturbations in areas insensitive to human eyes can achieve a better trade-off between imperceptibility and adversarial strength, specifically in parts of the object surface that are complex and exhibit drastic curvature changes.
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation
Current Visual-Language Pre-training (VLP) models are vulnerable to adversarial examples.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
