Champagne Taste on a Beer Budget: Better Budget Utilisation in Multi-label Adversarial Attacks

Abstract—Multi-label classification is an important branch of classification problems as in many real world classification scenarios an object can belong to multiple classes simultaneously. Deep learning based classifiers perform well at image classifica- tion but their predictions have shown to be unstable when subject to small input...