| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Black-box Attack | GenImage | ASR99.9 | 162 | |
| Generated Image Detection | GenImage (test) | Average Accuracy99.7 | 124 | |
| AI-generated image detection | GenImage | Midjourney Detection Rate99.54 | 106 | |
| AI-generated image detection | GenImage 61 (test) | AUC96.9 | 45 | |
| Adversarial Attack Imperceptibility | GenImage | PSNR34.7 | 30 | |
| AI-Generated Image Detection | GenImage 1.0 (test) | Midjourney Detection Rate95.61 | 24 | |
| Generated Image Detection | GenImage v1.4 (test) | AP (SD1.4)100 | 23 | |
| AIGI Detection | GenImage v1.4 (test) | ADM Score0.88 | 18 | |
| Cross-domain AI-generated image detection | GenImage | F1 Score94.78 | 15 | |
| AI-generated image detection | GenImage SD v1.4 March 2024 | Detection Accuracy (MJ)95.9 | 14 | |
| AI-generated image attribution | GenImage | Rank-1 (Real)83.4 | 12 | |
| AI-generated image attribution | GenImage cross-generator setting (test) | Rank-1 (Real)89.4 | 12 | |
| Adversarial Attack | GenImage SD | CNNSpot Performance100 | 12 | |
| AIGI Detection | GenImage | B.Acc94.2 | 12 | |
| AI-Generated Image Detection | Genimage | Total Inference Runtime (s)559.813 | 9 | |
| AI-generated image detection | GenImage 8 subsets 61 | MJ Detection Rate90.89 | 9 | |
| AI-generated image detection | GenImage robustness evaluation | Accuracy (JPEG QF=90)85.64 | 9 | |
| AI-generated image detection | GenImage v1 (test) | SD 1.4 Detection Rate100 | 8 | |
| AIGC Detection | GenImage v1 (test) | Midjourney Accuracy65.5 | 8 | |
| Model Attribution | GM-GenImage | Accuracy98.04 | 7 | |
| AI-generated image detection | GenImage 54 (test) | AUPR (ADM)92.3 | 7 | |
| AIGI Detection | GenImage Stable Diffusion DIRE detector (test) | AP100 | 5 | |
| AIGI Detection | GenImage Stable Diffusion AEROBLADE detector (test) | AP80 | 5 | |
| Deepfake Detection | GenImage New Generators (test) | SDv1.4 Score99.2 | 5 | |
| Deepfake Detection Attack | GenImage SD (test) | ASR (CNNSpot)1 | 4 |