arXiv:2603.05310v3 Announce Type: replace-cross Abstract: While existing audio watermarking techniques have achieved strong robustness against traditional digital signal processing (DSP) attacks, they remain vulnerable to neural compression. This occurs because modern neural audio codecs act as noise filters and discard the imperceptible waveform variations used in prior watermarking methods. To address this limitation, we propose Latent-Mark, the first zero-bit audio watermarking framework designed to survive neural codec compression. Our key insight is that robustness to the encode-decode pr
The proliferation of advanced neural audio codecs has exposed a critical vulnerability in existing audio watermarking techniques, necessitating new solutions to ensure content integrity post-compression.
This development is crucial for industries reliant on digital audio content, as it allows for robust protection of intellectual property and content provenance even in the face of advanced neural compression.
Digital audio watermarking can now withstand neural codec compression, providing a more reliable method for content tracking and authenticity verification in a rapidly evolving media landscape.
- · Content creators
- · Music industry
- · Broadcasting companies
- · Audio software developers
- · Piracy operations exploiting neural codecs
- · Legacy watermarking solution providers
Widespread adoption of Latent-Mark or similar technologies for audio content protection.
Increased ability for rights holders to detect and prove copyright infringement across various distribution channels.
Potential for new business models built on verifiable audio content and enhanced digital rights management.
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Read at arXiv cs.AI