Trust the Voice, Hide the Source: Anonymous Provenance for Verifiably Edited Audio

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As synthetic speech becomes increasingly realistic, the need to authenticate audio recordings has become more urgent. Such authentication should allow a released recording to demonstrate that it was captured by an authorized device and modified only through the declared edits, while concealing both the unreleased content and the identity of the particular recorder. In this work, we propose PPAAS, a privacy-preserving framework for authenticated audio editing under a formal security model. The fr