Adversarial Training (AT), which is commonly accepted as one of the most effective
approaches defending against adversarial examples, can largely harm the standard …

Network quantization aims at reducing bit-widths of weights and/or activations, particularly
important for implementing deep neural networks with limited hardware resources. Most …