{"ID":5439452,"CreatedAt":"2026-07-01T01:17:58.482524686Z","UpdatedAt":"2026-07-02T17:27:15.704513176Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2606.30780","arxiv_id":"2606.30780","title":"Detecting Audio Deepfakes on the Edge:Lightweight SSL-Based Detection in a Browser Plugin","abstract":"Audio deepfakes are a growing challenge for the general public, as well as for journalists and fact-checkers. The latter need reliable tools to verify the authenticity of their sources, while at the same time keeping their information private. Commercial deepfake detection solutions rely on cloud-based processing, which raises privacy concerns. To solve this problem, we propose an on-device audio deepfake detection model. We show that a truncated self-supervised backbone with a simple logistic classifier is both very fast and often more accurate than existing solutions. Our solution outperforms the baseline AASIST by 10% and improves inference speed by 40%. We integrate this model into a browser plug-in, which allows journalists and fact-checkers to detect deepfakes easily and securely. Code for the plugin is available at https://github.com/OctavianPascu97/Audio-Deepfakes-Browser-Plugin.","short_abstract":"Audio deepfakes are a growing challenge for the general public, as well as for journalists and fact-checkers. The latter need reliable tools to verify the authenticity of their sources, while at the same time keeping their information private. Commercial deepfake detection solutions rely on cloud-based processing, whic...","url_abs":"https://arxiv.org/abs/2606.30780","url_pdf":"https://arxiv.org/pdf/2606.30780v1","authors":"[\"Octavian Pascu\",\"Dan Oneata\",\"Horia Cucu\",\"Nicolas M. Muller\"]","published":"2026-06-29T18:09:27Z","proceeding":"eess.AS","tasks":"[\"eess.AS\",\"cs.AI\"]","methods":"[]","has_code":false,"code_links":[{"ID":613793,"CreatedAt":"2026-07-01T01:17:58.482524686Z","UpdatedAt":"2026-07-01T01:17:58.482524686Z","DeletedAt":null,"paper_id":5439452,"paper_url":"https://arxiv.org/abs/2606.30780","paper_title":"Detecting Audio Deepfakes on the Edge:Lightweight SSL-Based Detection in a Browser Plugin","repo_url":"https://github.com/OctavianPascu97/Audio-Deepfakes-Browser-Plugin","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}