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 ...

Studies by the National Institute of Standards and Technology (NIST) show that many commercial facial recognition algorithms have significantly higher error rates for ...

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 ...