New algorithm can detect deepfake videos with up to 99% accuracy

Scientists at UC Riverside can detect manipulated facial expressions in deepfake videos with higher accuracy than current state-of-the-art methods.

The method also works as well as current methods in cases where the facial identity, but not the expression, has been swapped, leading to a generalized approach to detect any kind of facial manipulation. .

The framework, called Expression Manipulation Detection, or EMD, can both detect and localize the specific regions within an image that have been altered.

Experiments on two challenging facial manipulation datasets show EMD has better performance in detection of not only facial expression manipulations but also identity swaps. EMD accurately detected 99% of the manipulated videos.

Chinese government to kick Windows in favor of Linux
Portable briefcase-sized device could make saltwater drinkable