Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...

Abstract: This study addresses the challenges of high latency, missed detections in high-coverage and multi-target face scenarios, and inefficiencies in traditional face recognition algorithms under ...

Deepfake faces generated via artificial intelligence (AI) have become so realistic that they routinely fool people, with some ...

About 10 years ago, an app developer named Hoan Ton-That scraped your social media photos. You didn't know it at the time, but he added your photos to a database, and used it to build a facial ...