AI for Biometric Forensics: Deepfake and morphing attack detection, iris, face, gait, fingerprint, and voice-based forensics, presentation attack detection, liveness analysis.
AI for Digital and Multimedia Forensics: Source attribution, provenance analysis, image/video/audio forgery detection, document forensics.
Machine Learning in Forensic Workflows: Explainable AI, dataset curation, benchmarking.
Adversarial Forensics and Security: Robustness against adversarial attacks, spoofing detection, counter-forensics.
Applications and Case Studies: AI for crime scene reconstruction, biometric forensics in border control and surveillance.