Ye-Chen Wang

No Time to Collapse: Unlocking Robustness and Multiplexed Capacity in Frozen Audio Watermarkers

Modern neural audio watermarking systems typically embed a message repeatedly across time and then collapse the resulting temporal evidence into a single payload using averaging, voting, or another fixed aggregation rule. We argue that this temporal collapse limits both robustness and the recovery of multiple payloads,...