GradMDM: Adversarial Attack on Dynamic Networks

Jianhong Pan, Lin Geng Foo, Qichen Zheng +4

Dynamic neural networks can greatly reduce computation redundancy without compromising accuracy by adapting their structures based on the input. In this paper, we explore the robus…