深度伪造人脸图像证据的司法鉴定研究进展

Key Points

• The aim is to explore the evolution of deepfake face imaging technology and its implications for judicial authentication.
• Reviewed 737 papers from the Web of Science database.
• Utilized VOSviewer for bibliometric analysis.
• Examined the development paths of key datasets and technologies.
• Analyzed the significant disconnect between detection technologies and judicial needs.
• Identified trends in deepfake technology and its application in criminal activities.
• Proposed a complementary framework for detection methods based on technical principles and application phases.
• Emphasized the necessity of integrating detection with Bayesian reasoning in judicial evidence.

Abstract