{"id":1757,"date":"2026-06-01T12:00:00","date_gmt":"2026-06-01T04:00:00","guid":{"rendered":"https:\/\/cchsu.info\/wordpress\/?p=1757"},"modified":"2026-06-02T05:29:00","modified_gmt":"2026-06-01T21:29:00","slug":"news-nycu-gongjianhuiyan-deepfake-misinformation-defense","status":"publish","type":"post","link":"https:\/\/cchsu.info\/wordpress\/2026\/06\/01\/news-nycu-gongjianhuiyan-deepfake-misinformation-defense\/","title":{"rendered":"[News] NYCU features “\u5171\u9451\u6167\u773c” for DeepFake and misinformation defense"},"content":{"rendered":"
\"NYCU<\/figure>\n
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Media Coverage \/ Public-Interest AI Security<\/strong><\/p>\n

National Yang Ming Chiao Tung University (NYCU) featured ACVLab and the free platform \u5171\u9451\u6167\u773c<\/strong> as a Focus News story on 01 June 2026. The article highlights the platform as a real-world effort for DeepFake detection, media verification, and misinformation defense.<\/p>\n

The NYCU report notes that the platform is open to the public, media organizations, and fact-checking groups, and connects the work with collaborations or technical exchanges involving Taiwan FactCheck Center, Taiwan Democracy Lab, the Investigation Bureau, the National Police Agency, and the Institute for Information Industry.<\/p>\n

The article also reports ACVLab\u2019s 5th place<\/strong> result in the CVPR 2026 Robust Deepfake Detection Challenge<\/strong>, describing a quality-aware mixture-of-experts design and a single approximately 500M-parameter model for robust detection under forwarding, compression, screenshots, and other real-world degradations.<\/p>\n