2026
ARE MODERN SPEECH ENHANCEMENT SYSTEMS VULNERABLE TO ADVERSARIAL ATTACKS?
ICASSP 2026poster
Machine learning approaches for speech enhancement are becoming increasingly expressive, enabling ever more powerful modifications of input signals. In this paper, we demonstrate that this expressiveness introduces a vulnerability: advanced speech enhancement models can be susceptible to adversarial…