IEEE

IDCNet: Image Decomposition and Cross-View Distillation for Generalizable Deepfake Detection

Abstract: Existing deepfake detectors predominantly process entire facial images as input, which limits their sensitivity to local forgery cues due to representation bias and information loss through ...

AI Detection Tools Can’t Catch Fakes—That’s Not Even The Real Problem.

AI detection tools failed the NYT's 1,000-image test. Runway proved 90% of people can't spot AI video. Here's how to actually ...
The Lancet

Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study

eInstitute of Otorhinolaryngology, Clinical Research Center, Eye and ENT Hospital, Fudan University, Shanghai, China fDepartment of Otorhinolaryngology, Huazhong University of Science and Technology ...
IEEE

Unified Framework for Multi-Method Image Forgery Detection

Abstract: Image editing technologies have created extensive difficulties for digital forensics because of their ability to easily modify digital images. Strong precise techniques need to be developed ...