Research map / Label-efficient and robust learning / Recognition and long-tail
Implicit Identity Driven Deepfake Face Swapping Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add EIC loss (ablation) | BCE baseline · Celeb-DF | ACC (%): 70.34 -> 77.76 | Helped |
| add EIC loss (ablation) | BCE baseline · DFDC | AUC (%): 72.65 -> 78.80 | Helped |
| add IIE loss without EIC (ablation) | BCE baseline · Celeb-DF | ACC (%): 70.34 -> 76.40 | Helped |
| add IIE loss without EIC (ablation) | BCE baseline · DFDC | AUC (%): 72.65 -> 77.22 | Helped |
| add EIC and IIE losses (ablation) | BCE baseline · Celeb-DF | AUC (%): 74.09 -> 83.80 | Helped |
| add EIC and IIE losses (ablation) | BCE baseline · DFDC | ACC (%): 69.85 -> 79.37 | Helped |
Closest papers by meaning
- Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes (NeurIPS 2025 · similarity 0.88)
- DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion (NeurIPS 2024 · similarity 0.87)
- $\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition (NeurIPS 2024 · similarity 0.86)
- DF40: Toward Next-Generation Deepfake Detection (NeurIPS 2024 · similarity 0.86)
- FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection (AAAI 2025 · similarity 0.85)
- From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes (NeurIPS 2025 · similarity 0.85)
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