Chun-Shien Lu

SSTMark achieves unprecedented robustness in speech watermarking by embedding watermarks at the semantic level, outperforming traditional methods even under severe distortions.

Forged watermarks in latent diffusion models are fundamentally limited by an irreducible distortion floor, revealing critical vulnerabilities in black-box settings.