DistriBlock: Detecting Adversarial Audio Samples for ASR Systems
DistriBlock proposes a novel strategy to detect adversarial attacks on automatic speech recognition systems by analyzing characteristics of output distributions. The approach outperforms existing methods in identifying adversarial examples efficiently.