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506 changes: 506 additions & 0 deletions _posts/2025-04-28-spd.md

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128 changes: 128 additions & 0 deletions assets/bibliography/2025-04-28-spd.bib
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@misc{ho2020denoisingdiffusionprobabilisticmodels,
title={Denoising Diffusion Probabilistic Models},
author={Jonathan Ho and Ajay Jain and Pieter Abbeel},
year={2020},
eprint={2006.11239},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2006.11239},
}

@misc{rombach2022highresolutionimagesynthesislatent,
title={High-Resolution Image Synthesis with Latent Diffusion Models},
author={Robin Rombach and Andreas Blattmann and Dominik Lorenz and Patrick Esser and Björn Ommer},
year={2022},
eprint={2112.10752},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2112.10752},
}

@misc{kingma2022autoencodingvariationalbayes,
title={Auto-Encoding Variational Bayes},
author={Diederik P Kingma and Max Welling},
year={2022},
eprint={1312.6114},
archivePrefix={arXiv},
primaryClass={stat.ML},
url={https://arxiv.org/abs/1312.6114},
}

@misc{goodfellow2015explainingharnessingadversarialexamples,
title={Explaining and Harnessing Adversarial Examples},
author={Ian J. Goodfellow and Jonathon Shlens and Christian Szegedy},
year={2015},
eprint={1412.6572},
archivePrefix={arXiv},
primaryClass={stat.ML},
url={https://arxiv.org/abs/1412.6572},
}

@misc{madry2019deeplearningmodelsresistant,
title={Towards Deep Learning Models Resistant to Adversarial Attacks},
author={Aleksander Madry and Aleksandar Makelov and Ludwig Schmidt and Dimitris Tsipras and Adrian Vladu},
year={2019},
eprint={1706.06083},
archivePrefix={arXiv},
primaryClass={stat.ML},
url={https://arxiv.org/abs/1706.06083},
}

@misc{moosavidezfooli2017universaladversarialperturbations,
title={Universal adversarial perturbations},
author={Seyed-Mohsen Moosavi-Dezfooli and Alhussein Fawzi and Omar Fawzi and Pascal Frossard},
year={2017},
eprint={1610.08401},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/1610.08401},
}

@misc{salman2023raisingcostmaliciousaipowered,
title={Raising the Cost of Malicious AI-Powered Image Editing},
author={Hadi Salman and Alaa Khaddaj and Guillaume Leclerc and Andrew Ilyas and Aleksander Madry},
year={2023},
eprint={2302.06588},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2302.06588},
}

@misc{liang2023adversarialexampledoesgood,
title={Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples},
author={Chumeng Liang and Xiaoyu Wu and Yang Hua and Jiaru Zhang and Yiming Xue and Tao Song and Zhengui Xue and Ruhui Ma and Haibing Guan},
year={2023},
eprint={2302.04578},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2302.04578},
}

@misc{xue2024effectiveprotectiondiffusionbased,
title={Toward effective protection against diffusion based mimicry through score distillation},
author={Haotian Xue and Chumeng Liang and Xiaoyu Wu and Yongxin Chen},
year={2024},
eprint={2311.12832},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2311.12832},
}

@misc{poole2022dreamfusiontextto3dusing2d,
title={DreamFusion: Text-to-3D using 2D Diffusion},
author={Ben Poole and Ajay Jain and Jonathan T. Barron and Ben Mildenhall},
year={2022},
eprint={2209.14988},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2209.14988},
}

@misc{oord2018neuraldiscreterepresentationlearning,
title={Neural Discrete Representation Learning},
author={Aaron van den Oord and Oriol Vinyals and Koray Kavukcuoglu},
year={2018},
eprint={1711.00937},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/1711.00937},
}

@misc{guo2024greyboxattacklatentdiffusion,
title={A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse},
author={Zhongliang Guo and Lei Fang and Jingyu Lin and Yifei Qian and Shuai Zhao and Zeyu Wang and Junhao Dong and Cunjian Chen and Ognjen Arandjelović and Chun Pong Lau},
year={2024},
eprint={2408.10901},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2408.10901},
}

@misc{kingma2014adam,
title={Adam: A Method for Stochastic Optimization},
author={Diederik P. Kingma and Jimmy Ba},
year={2014},
eprint={1412.6980},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
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