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Recent advances in diffusion models have significantly enhanced their ability to generate high-quality images and videos, but they have also increased the risk of producing unsafe content.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Gans trained by a two time-scale update rule converge to a local nash equilibrium, 2017
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Nudenet: Neural nets for nudity classification, detection and selective censoring
notAI tech · 2019
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Language models are few-shot learners
Tom B Brown · 2020
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde De Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Imagen video: High definition video generation with diffusion models
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P Kingma, Ben Poole, Mohammad Norouzi, David J Fleet, et al · 2022
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Audiogen: Textually guided audio generation
Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, and Yossi Adi · 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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Yimo Deng and Huangxun Chen · 2023
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Erasing concepts from diffusion models
Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, and David Bau · 2023
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Selective amnesia: A continual learning approach to forgetting in deep generative models
Alvin Heng and Harold Soh · 2023
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Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering
Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, and Noah A Smith · 2023
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Receler: Reliable concept erasing of text-to-image diffusion models via lightweight erasers
Chi-Pin Huang, Kai-Po Chang, Chung-Ting Tsai, Yung-Hsuan Lai, and Yu-Chiang Frank Wang · 2023
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Videopoet: A large language model for zero-shot video generation
Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, et al · 2023
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Ablating concepts in text-to-image diffusion models
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, and Jun-Yan Zhu · 2023
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Guided image synthesis via initial image editing in diffusion model
Jiafeng Mao, Xueting Wang, and Kiyoharu Aizawa · 2023
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Flirt: Feedback loop in-context red teaming
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, and Rahul Gupta · 2023
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Negative-prompt inversion: Fast image inversion for editing with text-guided diffusion models
Daiki Miyake, Akihiro Iohara, Yu Saito, and Toshiyuki Tanaka · 2023
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https://openai.com/dall-e , 2023
OpenAI · 2023
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Editing implicit assumptions in text-to-image diffusion models
Hadas Orgad, Bahjat Kawar, and Yonatan Belinkov · 2023
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Can sensitive information be deleted from llms? objectives for defending against extraction attacks
Vaidehi Patil, Peter Hase, and Mohit Bansal · 2023
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Scalable diffusion models with transformers
William Peebles and Saining Xie · 2023
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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.
Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models
Patrick Schramowski, Manuel Brack, Björn Deiseroth, and Kristian Kersting · 2023
Cited alongside, same era.
Jailbreaking prompt attack: A controllable adversarial attack against diffusion models
Jiachen Ma, Anda Cao, Zhiqing Xiao, Jie Zhang, Chao Ye, and Junbo Zhao · 2024
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T2vsafetybench: Evaluating the safety of text-to-video generative models
Yibo Miao, Yifan Zhu, Yinpeng Dong, Lijia Yu, Jun Zhu, and Xiao-Shan Gao · 2024
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https://www.midjourney.com/ , 2024
Midjourney · 2024
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https://openai.com/sora
openai · 2024
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Direct unlearning optimization for robust and safe text-to-image models
Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, and Gayoung Lee · 2024
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Jailbreak in pieces: Compositional adversarial attacks on multi-modal language models
Erfan Shayegani, Yue Dong, and Nael Abu-Ghazaleh · 2023
Cited alongside, same era.
Jailbroken: How does llm safety training fail?
Alexander Wei, Nika Haghtalab, and Jacob Steinhardt · 2023
Cited alongside, same era.
On evaluating adversarial robustness of large vision-language models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Man Cheung, and Min Lin · 2023
Cited alongside, same era.
Universal and transferable adversarial attacks on aligned language models
Andy Zou, Zifan Wang, Nicholas Carlini, Milad Nasr, J Zico Kolter, and Matt Fredrikson · 2023
Cited alongside, same era.
Continuous, subject-specific attribute control in t2i models by identifying semantic directions
Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Vincent Tao Hu, and Björn Ommer · 2024
Cited alongside, same era.
Ethical-lens: Curbing malicious usages of open-source text-to-image models
Yuzhu Cai, Sheng Yin, Yuxi Wei, Chenxin Xu, Weibo Mao, Felix Juefei-Xu, Siheng Chen, and Yanfeng Wang · 2024
Cited alongside, same era.
Prompting4debugging: Red-teaming text-to-image diffusion models by finding problematic prompts
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, and Wei-Chen Chiu · 2024
Cited alongside, same era.
Unlearning sensitive information in multimodal LLMs: Benchmark and attack-defense evaluation
Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, and Mohit Bansal · 2024
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Robust concept erasure using task vectors
Minh Pham, Kelly O Marshall, Chinmay Hegde, and Niv Cohen · 2024
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Not all noises are created equally: Diffusion noise selection and optimization
Zipeng Qi, Lichen Bai, Haoyi Xiong, et al · 2024
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Freeu: Free lunch in diffusion u-net
Chenyang Si, Ziqi Huang, Yuming Jiang, and Ziwei Liu · 2024
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https://stability.ai/news/stable-diffusion-3-research-paper
stabilityai · 2024
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Spatial-aware latent initialization for controllable image generation
Wenqiang Sun, Teng Li, Zehong Lin, and Jun Zhang · 2024
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Visual autoregressive modeling: Scalable image generation via next-scale prediction
Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, and Liwei Wang · 2024
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Ring-a-bell! how reliable are concept removal methods for diffusion models?
Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, and Chun-Ying Huang · 2024
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T2ishield: Defending against backdoors on text-to-image diffusion models
Zhongqi Wang, Jie Zhang, Shiguang Shan, and Xilin Chen · 2024
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Unlearning concepts in diffusion model via concept domain correction and concept preserving gradient
Yongliang Wu, Shiji Zhou, Mingzhuo Yang, Lianzhe Wang, Wenbo Zhu, Heng Chang, Xiao Zhou, and Xu Yang · 2024
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Editing massive concepts in text-to-image diffusion models
Tianwei Xiong, Yue Wu, Enze Xie, Zhenguo Li, and Xihui Liu · 2024
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Raccoon: Remove, add, and change video content with auto-generated narratives
Jaehong Yoon, Shoubin Yu, and Mohit Bansal · 2024
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Understanding and mitigating compositional issues in text-to-image generative models
Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, and Soheil Feizi · 2024
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https://huggingface.co/cerspense/zeroscope_v2_576w
zeroscope · 2024
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Steerdiff: Steering towards safe text-to-image diffusion models
Hongxiang Zhang, Yifeng He, and Hao Chen · 2024
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Debug like a human: A large language model debugger via verifying runtime execution step-by-step
Li Zhong, Zilong Wang, and Jingbo Shang · 2024
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Safety fine-tuning at (almost) no cost: A baseline for vision large language models
Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, and Timothy Hospedales · 2024
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