Collaborative Research: SaTC: CORE: Medium: Self-Learning and Self-Evolving Detection of Altered, Deceptive Images and Videos

The objective of this project is to design an intelligent deepfake detector, namely DeepDetect, which will be capable of assessing the integrity of digital visual content and automatically detect fake images or videos in the real time to prevent them from spreading. The uniqueness of the proposed DeepDetect is its ability of self-learning and self-evolving to capture fake visual content generated by new (currently unknown) deepfake algorithms over time.

Award Number
Lead PI
Dan Lin