% Key papers for Reconstruction-based diffusion image detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2023_diffusion_20796,
  title = {{Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21082},
}

@inproceedings{aaai2024_diffusionedge_5694,
  title = {{DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28490},
}

@inproceedings{cvpr2024_aeroblade_22679,
  title = {{AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29888},
}

@inproceedings{cvpr2024_lare_23911,
  title = {{LaRE^2: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31012},
}

@inproceedings{cvpr2024_diffforensics_23180,
  title = {{DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29845},
}

@inproceedings{cvpr2025_dual_26024,
  title = {{Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33427},
}

@inproceedings{icml2021_improved_39447,
  title = {{Improved Contrastive Divergence Training of Energy-Based Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10055},
}

@inproceedings{cvpr2024_action_22705,
  title = {{Action Detection via an Image Diffusion Process}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29406},
}

@inproceedings{neurips2023_dream_69755,
  title = {{Dream the Impossible: Outlier Imagination with Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70185},
}

@inproceedings{cvpr2025_correcting_25784,
  title = {{Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33146},
}

@inproceedings{cvpr2025_fire_26214,
  title = {{FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33018},
}

@inproceedings{cvpr2025_opensdi_27160,
  title = {{OpenSDI: Spotting Diffusion-Generated Images in the Open World}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33201},
}

@inproceedings{neurips2024_out_74221,
  title = {{Out-of-Distribution Detection with a Single Unconditional Diffusion Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93332},
}

@inproceedings{cvpr2025_a_25376,
  title = {{A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32926},
}

@inproceedings{aaai2025_dzad_8630,
  title = {{DZAD: Diffusion-based Zero-shot Anomaly Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33099},
}

@inproceedings{aaai2025_omnimark_10161,
  title = {{OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33818},
}

@inproceedings{icml2023_unsupervised_41969,
  title = {{Unsupervised Out-of-Distribution Detection with Diffusion Inpainting}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23466},
}

@inproceedings{neurips2023_energy_66803,
  title = {{Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72834},
}

@inproceedings{aaai2025_diffusion_8744,
  title = {{Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33427},
}

@inproceedings{cvpr2024_cgi_22910,
  title = {{CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31090},
}

@inproceedings{cvpr2025_cdi_25646,
  title = {{CDI: Copyrighted Data Identification in Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34687},
}

@inproceedings{aaai2026_explainable_104871,
  title = {{Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38060},
}

@inproceedings{aaai2025_diffusion_8740,
  title = {{Diffusion Models for Attribution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32226},
}

@inproceedings{cvpr2025_nearly_27057,
  title = {{Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33351},
}

@inproceedings{icml2025_towards_47495,
  title = {{Towards Black-Box Membership Inference Attack for Diffusion Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45100},
}