GB/T 45433-2025
ActiveForensic sciences—Forged video and image of a person—Explainable feature set for examination
法庭科学 伪造人像 可解释性检验特征集
Application Summary AI generated
This standard defines a set of explainable features for examining forged videos and images of people in forensic science contexts. It is applied by forensic laboratories and judicial authentication agencies in China to systematically identify digital manipulations in human portraits, such as deepfakes or AI-generated faces. The standard ensures that examination results are interpretable and admissible as evidence in legal proceedings.
Related Standards
GB/T 41776-2022
Forensic sciences—Identification methods for ammunition
GB/T 41777-2022
Forensic sciences—Examination methods for explosive strength
GB/T 41774-2022
Forensic sciences—Code of practice for identification of explosive device
GB/T 41846-2022
Forensic sciences—Code of practice for identification of initiator and pyrotechnic composition
GB/T 41845-2022
Forensic sciences—Code of practice for identification of propellant and explosive
GB/T 41775-2022
Forensic sciences—Terminology for explosive identification
GB/T 29361-2023
Forensic sciences—Code of practice for identification of electronic data file consistency
GB/T 29362-2023
Forensic sciences—Code of practice for electronic data search examination
Transparency note: The application summary and key sentences on this page were automatically generated by AI from the standard's original text. This content has not been human-verified and should not be used for compliance or regulatory purposes. Always refer to the official standard document from the issuing authority.