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cs.SD2026
Backward Compatibility in Zero-Bit Neural Audio Watermarking
Admir Krnić, Kosta Pavlović, Petar Nedić +3
Neural watermarking systems are typically trained as tightly coupled embedder-detector pairs and implicitly assume static deployment. In real-world deployments, embedders and detec…
cs.SD2025
AWARE: Audio Watermarking with Adversarial Resistance to Edits
Kosta Pavlović, Lazar Stanarević, Petar Nedić +2
Prevailing practice in learning-based audio watermarking is to pursue robustness by expanding the set of simulated distortions during training. However, such surrogates are narrow…