2020
ILFO: Adversarial Attack on Adaptive Neural Networks
CVPR 2020poster
With the increasing number of layers and parameters in neural networks, the energy consumption of neural networks has become a great concern to society, especially to users of handheld or embedded devices. In this paper, we investigate the robustness of neural networks against energy-oriented attack…