Search Results for author:
Found 4 papers, 0 papers with code
My Art My Choice: Adversarial Protection Against Unruly AI
Generative AI is on the rise, enabling everyone to produce realistic content via publicly available interfaces.
How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection
We contrast the movement in deepfakes and authentic videos by motion magnification towards building a generalized deepfake source detector.
How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals
Our results indicate that our approach can detect fake videos with 97. 29% accuracy, and the source model with 93. 39% accuracy.
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals
Lastly, we release an "in the wild" dataset of fake portrait videos that we collected as a part of our evaluation process.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
