Soongsil University, Chung-Ang University team develops technology to disrupt lip-sync deepfakes
A joint research team from Soongsil University and Chung-Ang University has developed a technology to disrupt lip synchronization in deepfake videos that use artificial intelligence (AI) to make a person's lip movements match an audio track. Soongsil University said Tuesday that the team, led by professor Choi Dae-sun of its AI Security Center and professor Kwon Jun-seok of Chung-Ang University,…
A collaborative research team from Soongsil University and Chung-Ang University has created a technology designed to disrupt lip synchronization in deepfake videos generated through artificial intelligence. This technology, known as MUTE, was developed by professor Choi Dae-sun from Soongsil University's AI Security Center and professor Kwon Jun-seok from Chung-Ang University.
The team announced on Tuesday that they had developed MUTE, which is claimed to be the first solution to counteract lip synchronization in deepfake videos using audio protection exclusively. Their research paper, titled "MUTE: Multi-Level Alignment Uncoupling Against Talking-Head Exploitation for Voice Protection," has been accepted for presentation at the highly esteemed Conference on Neural Information Processing Systems (NeurIPS) 2026, a premier AI conference globally.
This research was conducted as part of a project funded by the Personal Information Protection Commission and the Korea Internet & Security Agency (KISA). The research group comprised doctoral student Kim Dong-hyun and master's student Kim Seung.
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