University of Florida researchers recently concluded the largest study on audio deepfakes to date, challenging 1,200 humans to identify real audio messages from digital fakes. Humans claimed a 73% accuracy rate but were often fooled by details generated by machines,… Read More
Listen carefully: UF study could lead to better deepfake detection
![Patrick Traynor, Ph.D.](https://www.cise.ufl.edu/wp-content/uploads/2024/11/DeepFakes_Traynor_2-150x150.png)