DeMark: A Query-Free Black-Box Attack for Quality-Preserving Audio Watermark Removal
cs.CR
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- WavMark: Watermarking for Audio Generation
- Learning to Evade: Adaptive Attacks on Audio Watermarking
- MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement
- BigVGAN: A Universal Neural Vocoder with Large-Scale Training
- HarmonicAttack: An Adaptive Cross-Domain Audio Watermark Removal
- Detecting Voice Cloning Attacks via Timbre Watermarking
- MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra
- NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
- Deep Audio Watermarks are Shallow: Limitations of Post-Hoc Watermarking Techniques for Speech
- A Comprehensive Real-World Assessment of Audio Watermarking Algorithms: Will They Survive Neural Codecs?
- Self Voice Conversion as an Attack against Neural Audio Watermarking
- SEGAN: Speech Enhancement Generative Adversarial Network
- EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation
- Proactive Detection of Voice Cloning with Localized Watermarking
- UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022
- Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement
- SoK: How Robust is Audio Watermarking in Generative AI models?
- Audio Pirates: Black-box Audio Watermark Removal via Diffusion Priors
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