Forensic data model for artificial intelligence based media forensics - Illustrated on the example of DeepFake detection
Dennis Siegel, Christian Kraetzer, Stefan Seidlitz, Jana Dittmann · Electronic Imaging · 2022
The recent development of AI systems and their frequent use for classification problems poses a challenge from a forensic perspective. In many application fields like DeepFake detection, black box approaches such as neural networks are commonly used. As a result, the underlying classification models usually lack explainability and interpretability. In order to increase traceability of AI decisions and move a crucial step further towards precise & reproducible analysis descriptions and certifiable investigation procedures, in this paper a domain adapted forensic data model is introduced for media forensic investigations focusing on media forensic object manipulation detection, such as DeepFake detection.