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Current image generation models can effortlessly produce high-quality, highly realistic images, but this also increases the risk of misuse.
Auto-encoding variational bayes
Diederik P Kingma · 2013
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras · 2017
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Large-scale celebfaces attributes (celeba) dataset
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2018
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Information constraints on auto-encoding variational bayes
Romain Lopez, Jeffrey Regier, Michael I Jordan, and Nir Yosef · 2018
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Generating diverse high-fidelity images with vq-vae-2
Ali Razavi, Aaron Van den Oord, and Oriol Vinyals · 2019
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
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Detoxify
Laura Hanu and Unitary team · 2020
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Defending against backdoor attack on deep neural networks
Cheng Hao, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Pu Zhao, and Xue Lin · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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Red-teaming the stable diffusion safety filter
Javier Rando, Daniel Paleka, David Lindner, Lennart Heim, and Florian Tramèr · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Defense-prefix for preventing typographic attacks on clip
Hiroki Azuma and Yusuke Matsui · 2023
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Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros · 2023
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Trojdiff: Trojan attacks on diffusion models with diverse targets
Weixin Chen, Dawn Song, and Bo Li · 2023
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Rbformer: improve adversarial robustness of transformer by robust bias
Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, and Renjing Xu · 2023
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Instructblip: Towards general-purpose vision-language models with instruction tuning, 2023
Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, and Steven Hoi · 2023
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Llama guard: Llm-based input-output safeguard for human-ai conversations
Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, et al · 2023
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Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
Cited alongside, same era.
Unveiling typographic deceptions: Insights of the typographic vulnerability in large vision-language model
Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, and Renjing Xu · 2024
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Villandiffusion: A unified backdoor attack framework for diffusion models
Sheng-Yen Chou, Pin-Yu Chen, and Tsung-Yi Ho · 2024
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Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer
Jiwoo Chung, Sangeek Hyun, and Jae-Pil Heo · 2024
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Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models
Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, and Kaidi Xu · 2024
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Scaling rectified flow transformers for high-resolution image synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al · 2024
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Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan · 2023
Cited alongside, same era.
A holistic approach to undesired content detection in the real world
Todor Markov, Chong Zhang, Sandhini Agarwal, Florentine Eloundou Nekoul, Theodore Lee, Steven Adler, Angela Jiang, and Lilian Weng · 2023
Cited alongside, same era.
At-ddpm: Restoring faces degraded by atmospheric turbulence using denoising diffusion probabilistic models
Nithin Gopalakrishnan Nair, Kangfu Mei, and Vishal M Patel · 2023
Cited alongside, same era.
White-box membership inference attacks against diffusion models
Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, and Yang Zhang · 2023
Cited alongside, same era.
Sdxl: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023
Cited alongside, same era.
Raising the cost of malicious ai-powered image editing
Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, and Aleksander Madry · 2023
Cited alongside, same era.
Emu: Generative pretraining in multimodality
Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, and Xinlong Wang · 2023
Cited alongside, same era.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
Cited alongside, same era.
Rt-attack: Jailbreaking text-to-image models via random token
Sensen Gao, Xiaojun Jia, Yihao Huang, Ranjie Duan, Jindong Gu, Yang Liu, and Qing Guo · 2024
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Responsible generative ai: What to generate and what not
Jindong Gu · 2024
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All but one: Surgical concept erasing with model preservation in text-to-image diffusion models
Seunghoo Hong, Juhun Lee, and Simon S Woo · 2024
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Jailbreaking prompt attack: A controllable adversarial attack against diffusion models
Jiachen Ma, Anda Cao, Zhiqing Xiao, Yijiang Li, Jie Zhang, Chao Ye, and Junbo Zhao · 2024
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Dreamguider: Improved training free diffusion-based conditional generation
Nithin Gopalakrishnan Nair and Vishal M Patel · 2024
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Contrastive denoising score for text-guided latent diffusion image editing
Hyelin Nam, Gihyun Kwon, Geon Yeong Park, and Jong Chul Ye · 2024
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Safe-clip: Removing nsfw concepts from vision-and-language models
Samuele Poppi, Tobia Poppi, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara, et al · 2024
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Generative multimodal models are in-context learners
Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, and Xinlong Wang · 2024
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Gcd-ddpm: A generative change detection model based on difference-feature guided ddpm
Yihan Wen, Xianping Ma, Xiaokang Zhang, and Man-On Pun · 2024
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Sneakyprompt: Jailbreaking text-to-image generative models
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, and Yinzhi Cao · 2024
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Defensive unlearning with adversarial training for robust concept erasure in diffusion models
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, and Sijia Liu · 2024
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Latent guard: a safety framework for text-to-image generation
Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip Torr, and Fabio Pizzati · 2025
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