Published April 6, 2023
Siwei Lyu, SUNY Empire Innovation Professor in the Department of Computer Science and Engineering and co-director of the Center for Information Integrity, was quoted in Newsweek about the two ways to spot deepfakes.
“The first is data-driven methods. These methods are deep neural networks themselves and are trained from a large number of media of original and deepfake nature. After training, the models will have the ability to tell apart real from deepfakes,” Lyu said. “The other stream is evidence-based methods. They use tell-tale signs of deepfakes that researchers observe, and AI algorithms designed specifically to look for such evidence.”
However, Lyu warns that these methods are not foolproof, as deepfake makers can simply learn from their mistakes.