DeePen: Penetration Testing for Audio Deepfake Detection

ArXi:2502.20427v3 Announce Type: replace-cross Deepfakes - manipulated or forged audio and video media - pose significant security risks to individuals, organizations, and society at large. To address these challenges, machine learning-based classifiers are commonly employed to detect deepfake content. In this paper, we assess the robustness of such classifiers through a systematic penetration testing methodology, which we