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Recent advancements in text-to-image (T2I) models have unlocked a wide range of applications but also present significant risks, particularly in their potential to generate unsafe content.
Rank analysis of incomplete block designs: I. the method of paired comparisons
R. A. Bradley and M. E. Terry · 1952
Earlier work this paper cites.
Reinforcement learning by reward-weighted regression for operational space control
J. Peters and S. Schaal · 2007
Earlier work this paper cites.
Denoising diffusion implicit models
J. Song, C. Meng, and S. Ermon · 2010
Earlier work this paper cites.
Score-based generative modeling through stochastic differential equations
Y. Song, J. Sohl-Dickstein, D. P. Kingma, A. Kumar, S. Ermon, and B. Poole · 2011
Earlier work this paper cites.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
J. Sohl-Dickstein, E. Weiss, N. Maheswaranathan, and S. Ganguli · 2015
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang · 2018
Earlier work this paper cites.
Nudenet: lightweight nudity detection
P. Bedapudi · 2019
Earlier work this paper cites.
Advantage-weighted regression: Simple and scalable off-policy reinforcement learning
X. B. Peng, A. Kumar, G. Zhang, and S. Levine · 2019
Earlier work this paper cites.
Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
Earlier work this paper cites.
CLIPScore: a reference-free evaluation metric for image captioning
J. Hessel, A. Holtzman, M. Forbes, R. L. Bras, and Y. Choi · 2021
Earlier work this paper cites.
Lora: Low-rank adaptation of large language models
E. J. Hu, Y. Shen, P. Wallis, Z. Allen-Zhu, Y. Li, S. Wang, L. Wang, and W. Chen · 2021
Earlier work this paper cites.
Variational diffusion models
D. Kingma, T. Salimans, B. Poole, and J. Ho · 2021
Earlier work this paper cites.
Sdedit: Image synthesis and editing with stochastic differential equations
C. Meng, Y. Song, J. Song, J. Wu, J.-Y. Zhu, and S. Ermon · 2021
Earlier work this paper cites.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
A. Nichol, P. Dhariwal, A. Ramesh, P. Shyam, P. Mishkin, B. McGrew, I. Sutskever, and M. Chen · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al · 2021
Earlier work this paper cites.
Classifier-free diffusion guidance
J. Ho and T. Salimans · 2022
Earlier work this paper cites.
Imagen video: High definition video generation with diffusion models
J. Ho, W. Chan, C. Saharia, J. Whang, R. Gao, A. Gritsenko, D. P. Kingma, B. Poole, M. Norouzi, D. J. Fleet, et al · 2022
Earlier work this paper cites.
On reinforcement learning and distribution matching for fine-tuning language models with no catastrophic forgetting
T. Korbak, H. Elsahar, G. Kruszewski, and M. Dymetman · 2022
Earlier work this paper cites.
Understanding diffusion models: A unified perspective
C. Luo · 2022
Earlier work this paper cites.
Hierarchical text-conditional image generation with clip latents
A. Ramesh, P. Dhariwal, A. Nichol, C. Chu, and M. Chen · 2022
Cited alongside, same era.
Red-teaming the stable diffusion safety filter
J. Rando, D. Paleka, D. Lindner, L. Heim, and F. Tramèr · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer · 2022
Cited alongside, same era.
Low-rank adaptation for fast text-to-image diffusion fine-tuning
S. Ryu · 2022
Cited alongside, same era.
Can machines help us answering question 16 in datasheets, and in turn reflecting on inappropriate content?
P. Schramowski, C. Tauchmann, and K. Kersting · 2022
Cited alongside, same era.
Ring-a-bell! how reliable are concept removal methods for diffusion models?
Y.-L. Tsai, C.-Y. Hsu, C. Xie, C.-H. Lin, J.-Y. Chen, B. Li, P.-Y. Chen, C.-M. Yu, and C.-Y. Huang · 2023
Later among the works it cites.
Diffusion model alignment using direct preference optimization
B. Wallace, M. Dang, R. Rafailov, L. Zhou, A. Lou, S. Purushwalkam, S. Ermon, C. Xiong, S. Joty, and N. Naik · 2023
Later among the works it cites.
The dawn of lmms: Preliminary explorations with gpt-4v (ision)
Z. Yang, L. Li, K. Lin, J. Wang, C.-C. Lin, Z. Liu, and L. Wang · 2023
Later among the works it cites.
Large language model unlearning
Y. Yao, X. Xu, and Y. Liu · 2023
Later among the works it cites.
Into the laion’s den: Investigating hate in multimodal datasets
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Laion-5b: An open large-scale dataset for training next generation image-text models
C. Schuhmann, R. Beaumont, R. Vencu, C. Gordon, R. Wightman, M. Cherti, T. Coombes, A. Katta, C. Mullis, M. Wortsman, et al · 2022
Cited alongside, same era.
J. Achiam, S. Adler, S. Agarwal, L. Ahmad, I. Akkaya, F. L. Aleman, D. Almeida, J. Altenschmidt, S. Altman, S. Anadkat, et al · 2023
Cited alongside, same era.
Improving image generation with better captions
J. Betker, G. Goh, L. Jing, T. Brooks, J. Wang, L. Li, L. Ouyang, J. Zhuang, J. Lee, Y. Guo, et al · 2023
Cited alongside, same era.
Unlearn what you want to forget: Efficient unlearning for llms
J. Chen and D. Yang · 2023
Cited alongside, same era.
Pixart-alpha: Fast training of diffusion transformer for photorealistic text-to-image synthesis
J. Chen, J. Yu, C. Ge, L. Yao, E. Xie, Y. Wu, Z. Wang, J. Kwok, P. Luo, H. Lu, et al · 2023
Cited alongside, same era.
Prompting4debugging: Red-teaming text-to-image diffusion models by finding problematic prompts
Z.-Y. Chin, C.-M. Jiang, C.-C. Huang, P.-Y. Chen, and W.-C. Chiu · 2023
Cited alongside, same era.
Erasing concepts from diffusion models
R. Gandikota, J. Materzynska, J. Fiotto-Kaufman, and D. Bau · 2023
Cited alongside, same era.
A. Birhane, S. Han, V. Boddeti, S. Luccioni, et al · 2024
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Pixart-sigma: Weak-to-strong training of diffusion transformer for 4k text-to-image generation
J. Chen, C. Ge, E. Xie, Y. Wu, L. Yao, X. Ren, Z. Wang, P. Luo, H. Lu, and Z. Li · 2024
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Scaling rectified flow transformers for high-resolution image synthesis
P. Esser, S. Kulal, A. Blattmann, R. Entezari, J. Müller, H. Saini, Y. Levi, D. Lorenz, A. Sauer, F. Boesel, et al · 2024
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Kto: Model alignment as prospect theoretic optimization
K. Ethayarajh, W. Xu, N. Muennighoff, D. Jurafsky, and D. Kiela · 2024
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Unified concept editing in diffusion models
R. Gandikota, H. Orgad, Y. Belinkov, J. Materzyńska, and D. Bau · 2024
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Probing unlearned diffusion models: A transferable adversarial attack perspective
X. Han, S. Yang, W. Wang, Y. Li, and J. Dong · 2024
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Selective amnesia: A continual learning approach to forgetting in deep generative models
A. Heng and H. Soh · 2024
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Direct consistency optimization for compositional text-to-image personalization
K. Lee, S. Kwak, K. Sohn, and J. Shin · 2024
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Mace: Mass concept erasure in diffusion models
S. Lu, Z. Wang, L. Li, Y. Liu, and A. W.-K. Kong · 2024
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Task arithmetic in the tangent space: Improved editing of pre-trained models
G. Ortiz-Jimenez, A. Favero, and P. Frossard · 2024
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In-context policy iteration (i2p)
S. Patrick and B. Manuel · 2024
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Direct preference optimization: Your language model is secretly a reward model
R. Rafailov, A. Sharma, E. Mitchell, C. D. Manning, S. Ermon, and C. Finn · 2024
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Gpt-4v (ision) is a human-aligned evaluator for text-to-3d generation
T. Wu, G. Yang, Z. Li, K. Zhang, Z. Liu, L. Guibas, D. Lin, and G. Wetzstein · 2024
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Sneakyprompt: Jailbreaking text-to-image generative models
Y. Yang, B. Hui, H. Yuan, N. Gong, and Y. Cao · 2024
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Negative preference optimization: From catastrophic collapse to effective unlearning
R. Zhang, L. Lin, Y. Bai, and S. Mei · 2024
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Y. Zhang, J. Jia, X. Chen, A. Chen, Y. Zhang, J. Liu, K. Ding, and S. Liu · 2025
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