Presentation
Random Walks for Adversarial Meshes
Event Type
Technical Paper
Modeling
Research & Education
In Person
Full Conference Supporter
Full Conference
Exhibitor Additional Full Conference
Exhibitor Full Conference
This session WILL NOT be recorded.
TimeTuesday, 9 August 20224:24pm - 4:29pm PDT
LocationEast Building, Room 1-3
DescriptionWe propose a novel, unified, and general adversarial attack, which leads to misclassification of numerous SOTA mesh classification neural networks. The attack is black-box, having access only to the network’s predictions but not to its architecture or gradients. The key idea is to learn to imitate a given classification network.
