StyleShield: Exposing the Fragility of AIGC Detectors through Continuous Controllable Style Transfer

The paper introduces StyleShield, a novel flow matching framework for conditional text style transfer that exposes the fragility of AI-generated content (AIGC) detectors. It operates in continuous token embedding space to blur the statistical boundary between human and AI writing, challenging the reliability of current detection services.