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Artists are increasingly concerned about advancements in image generation models that can closely replicate their unique artistic styles.
Numerical optimization, 2006
Stephen J Wright · 2006
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
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Adam: A method for stochastic optimization
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Defense-gan: Protecting classifiers against adversarial attacks using generative models, 2018
Pouya Samangouei, Maya Kabkab, and Rama Chellappa · 2018
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Improved artgan for conditional synthesis of natural image and artwork
Wei Ren Tan, Chee Seng Chan, Hernan Aguirre, and Kiyoshi Tanaka · 2018
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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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Image super-resolution as a defense against adversarial attacks
Aamir Mustafa, Salman H Khan, Munawar Hayat, Jianbing Shen, and Ling Shao · 2019
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Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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The shape of and solutions to the mturk quality crisis
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Fawkes: Protecting privacy against unauthorized deep learning models
Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, and Ben Y Zhao · 2020
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Online adversarial purification based on self-supervised learning
Changhao Shi, Chester Holtz, and Gal Mishne · 2020
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On adaptive attacks to adversarial example defenses
Florian Tramer, Nicholas Carlini, Wieland Brendel, and Aleksander Madry · 2020
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Lowkey: Leveraging adversarial attacks to protect social media users from facial recognition
Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John Dickerson, Gavin Taylor, and Tom Goldstein · 2021
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Adversarial examples make strong poisons
Liam Fowl, Micah Goldblum, Ping-yeh Chiang, Jonas Geiping, Wojciech Czaja, and Tom Goldstein · 2021
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Unlearnable examples: Making personal data unexploitable
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, and Yisen Wang · 2021
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Pseudo numerical methods for diffusion models on manifolds
Luping Liu, Yi Ren, Zhijie Lin, and Zhou Zhao · 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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Data poisoning won’t save you from facial recognition
Evani Radiya-Dixit, Sanghyun Hong, Nicholas Carlini, and Florian Tramèr · 2021
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Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, and Songcan Chen · 2021
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Adversarial purification with score-based generative models
Jongmin Yoon, Sung Ju Hwang, and Juho Lee · 2021
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An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit Haim Bermano, Gal Chechik, and Daniel Cohen-or · 2022
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Your personal information is probably being used to train generative ai models
Lauren Leffer · 2023
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Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
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Mist: Towards improved adversarial examples for diffusion models
Chumeng Liang and Xiaoyu Wu · 2023
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Adversarial example does good: Preventing painting imitation from diffusion models via adversarial examples
Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan · 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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This artist is dominating ai-generated art. and he’s not happy about it
Melissa Heikkilä · 2022
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This artist is dominating ai-generated art. and he’s not happy about it
Melissa Heikkilä · 2022
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Elucidating the design space of diffusion-based generative models
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Diffusion models for adversarial purification
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High-resolution image synthesis with latent diffusion models
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Negative prompt weight: Extension for stable diffusion web ui
muerrilla · 2023
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Kandinsky: an improved text-to-image synthesis with image prior and latent diffusion
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Raising the cost of malicious ai-powered image editing
Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, and Aleksander Madry · 2023
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It gave us some way to fight back: New tools aim to protect art and images from ai’s grasp
Catherine Thorbecke · 2023
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Anti-dreambooth: Protecting users from personalized text-to-image synthesis
Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc N Tran, and Anh Tran · 2023
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Understanding and improving adversarial attacks on latent diffusion model
Boyang Zheng, Chumeng Liang, Xiaoyu Wu, and Yan Liu · 2023
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Impress: Evaluating the resilience of imperceptible perturbations against unauthorized data usage in diffusion-based generative ai
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