mAVE: A Watermark for Joint Audio-Visual Generation Models
mAVE is a new watermarking strategy for joint audio-visual models that cryptographically binds audio and video latents at initialization. It solves a critical security flaw called the Binding Vulnerability, where attackers can swap authentic audio with deepfakes while keeping the video intact. mAVE uses a 'Legitimate Entanglement Manifold' to ensure performance-losslessness and provides an exponential security bound against Swap Attacks.