Anti Forensic

Anti-forensics research focuses on developing techniques to conceal or eliminate evidence of digital tampering, hindering forensic analysis. Current efforts concentrate on creating robust methods for image and audio manipulation that evade detection, employing deep learning models like transformers and adversarial training algorithms to generate realistic forgeries and counteract forensic tools. This field is crucial for addressing the growing concerns surrounding the authenticity of digital media, impacting areas such as cybersecurity, law enforcement, and the fight against misinformation.