Image Forgery Detection Papers

Multiple deep learning approaches and datasets across image forgery and deepfake detection categories. The repository organizes publicly available research methodologies and benchmark sources for digital forensics.

Use Cases

• Locate benchmark datasets for training image forgery detection models
• Compare deep learning architectures based on the listed research approaches
• Source publicly available data for validating new image forensics algorithms

Strengths

• Includes deep learning approaches for image forgery detection
• Lists publicly available datasets for deepfake research
• Focuses on digital forensics methodologies