Multimedia Forensics

Multimedia forensics aims to detect and localize manipulations in images and videos, a crucial task given the proliferation of realistic digital forgeries. Current research heavily utilizes deep learning, employing architectures like masked autoencoders and multi-stream networks to identify subtle artifacts indicative of tampering, focusing on challenges posed by advanced generative AI techniques and compression algorithms. This field is vital for maintaining the integrity of digital media, with applications ranging from combating misinformation to protecting intellectual property and ensuring the authenticity of evidence in legal contexts.