Deepfake Detection Model Performance Comparison Table

Md Shihab Reza's 9.5 KB Excel file compares classification performance across research studies on DeepFake face detection, including results for the proposed ARC-Net model. The dataset was published on the figshare platform in April 2026.

Use Cases

• Benchmark ARC-Net's accuracy, precision, or recall against other published models using the provided performance metrics.
• Analyze trends in detection performance across different studies listed in the comparison table.
• Identify top-performing models for specific evaluation metrics like F1-score or AUC reported in the dataset.

Strengths

• Directly compares multiple research studies in a single 9.5 KB table.
• Includes performance metrics for the author's proposed ARC-Net model.

Limitations

• Extremely small scale at 9.5 KB, indicating a limited summary table rather than primary data.
• Specific row count, column names, and underlying evaluation data are unknown.

Provenance

Source

figshare, authored by Md Shihab Reza.

Collection Method

Compiled from published research studies for comparative analysis.

Freshness

Last updated April 2026.