2023
Adversarial Network Pruning by Filter Robustness Estimation
ICASSP 2023accepted
Network pruning has been extensively studied in model compression to reduce neural networks’ memory, latency, and computation cost. However, the pruned networks still suffer from the threat posed by adversarial examples, limiting the broader application of the pruned networks in safety-critical appl…