% Key papers for Concept erasure in diffusion models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2024_mace_24046,
  title = {{MACE: Mass Concept Erasure in Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29799},
}

@inproceedings{cvpr2024_self_24782,
  title = {{Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29666},
}

@inproceedings{cvpr2024_one_24359,
  title = {{One-dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30709},
}

@inproceedings{neurips2024_defensive_73109,
  title = {{Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94320},
}

@inproceedings{aaai2024_all_5162,
  title = {{All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30107},
}

@inproceedings{aaai2025_unlearning_11165,
  title = {{Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32917},
}

@inproceedings{icml2024_prompting4debugging_44558,
  title = {{Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33894},
}

@inproceedings{cvpr2025_fine_26261,
  title = {{Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33583},
}

@inproceedings{cvpr2025_precise_27292,
  title = {{Precise, Fast, and Low-cost Concept Erasure in Value Space:  Orthogonal Complement Matters}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34263},
}

@inproceedings{cvpr2025_the_27858,
  title = {{The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33746},
}

@inproceedings{cvpr2025_ace_25387,
  title = {{ACE: Anti-Editing Concept Erasure in Text-to-Image Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33574},
}

@inproceedings{cvpr2025_localized_26811,
  title = {{Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34742},
}

@inproceedings{iclr2024_ring_35153,
  title = {{Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17920},
}

@inproceedings{neurips2024_unlearncanvas_74193,
  title = {{UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97469},
}

@inproceedings{neurips2024_boosting_70802,
  title = {{Boosting Alignment for Post-Unlearning Text-to-Image Generative Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96330},
}

@inproceedings{neurips2024_direct_72399,
  title = {{Direct Unlearning Optimization for Robust and Safe Text-to-Image Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94956},
}

@inproceedings{aaai2025_dumo_8819,
  title = {{DuMo: Dual Encoder Modulation Network for Precise Concept Erasure}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32343},
}

@inproceedings{iclr2024_circumventing_34715,
  title = {{Circumventing Concept Erasure Methods For Text-To-Image Generative Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18359},
}

@inproceedings{neurips2025_when_77485,
  title = {{When Are Concepts Erased From Diffusion Models?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=UKt31LbRPI},
}

@inproceedings{neurips2025_eraseflow_78828,
  title = {{EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=igB289kbej},
}