Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity

Tianshu Chu, Kun Fang, Jie Yang, Xiaolin Huang

Abstract: Highlights•We address the issue of the adversarial vulnerability of quantized neural networks (QNNs).•The adversarial robustness of QNNs is improved via exploiting the feature diversity.•The orthogonal degeneration is alleviated by network quantization.•The proposed Q-OMP method is validated via extensive experiments.