#imageauthentication

Forensic Detection vs Anti-Forensics in GAN Images #researchawards #sciencefather #fosawards

This study explores the intricate balance between forensic detection methods and anti-forensic strategies in GAN-generated images. It examines how synthetic shadows and image artifacts influence authenticity assessments, highlighting advancements in digital forensics, AI image analysis, and counter-forensic techniques that challenge detection accuracy.

Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee

Website: https://forensicscientist.org/