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Diffusion models have revolutionized customized text-to-image generation, allowing for efficient synthesis of photos from personal data with textual descriptions.
No-reference image quality assessment in the spatial domain
Anish Mittal, Anush Krishna Moorthy, and Alan Conrad Bovik · 2012
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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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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Large-scale classification of fine-art paintings: Learning the right metric on the right feature
Babak Saleh and Ahmed Elgammal · 2015
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Delving into transferable adversarial examples and black-box attacks
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song · 2016
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Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al · 2017
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Adversarial examples in the physical world
Alexey Kurakin, Ian J Goodfellow, and Samy Bengio · 2018
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Boosting adversarial attacks with momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, and Jianguo Li · 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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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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Nesterov accelerated gradient and scale invariance for adversarial attacks
Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, and John E Hopcroft · 2019
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Effective dimensionality reduction for word embeddings
Vikas Raunak, Vivek Gupta, and Florian Metze · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
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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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Hopskipjumpattack: A query-efficient decision-based attack
Jianbo Chen, Michael I Jordan, and Martin J Wainwright · 2020
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
Cited alongside, same era.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2021
Cited alongside, same era.
Boosting adversarial transferability through enhanced momentum
Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, and Kun He · 2021
Cited alongside, same era.
Enhancing the transferability of adversarial attacks through variance tuning
Xiaosen Wang and Kun He · 2021
Cited alongside, same era.
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
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
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Security and privacy on generative data in aigc: A survey
Tao Wang, Yushu Zhang, Shuren Qi, Ruoyu Zhao, Zhihua Xia, and Jian Weng · 2023
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On the trustworthiness landscape of state-of-the-art generative models: A comprehensive survey
Mingyuan Fan, Cen Chen, Chengyu Wang, and Jun Huang · 2023
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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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Glaze: Protecting artists from style mimicry by text-to-image models
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Cited alongside, same era.
Defending against gan-based deepfake attacks via transformation-aware adversarial faces
Chaofei Yang, Leah Ding, Yiran Chen, and Hai Li · 2021
Cited alongside, same era.
Clipscore: A reference-free evaluation metric for image captioning
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi · 2021
Cited alongside, same era.
Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
Cited alongside, same era.
Sdedit: Guided image synthesis and editing with stochastic differential equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2021
Cited alongside, same era.
On the sensitivity and stability of model interpretations in nlp
Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, and Kai-Wei Chang · 2021
Cited alongside, same era.
Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, and Ben Y Zhao · 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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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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Understanding and improving adversarial attacks on latent diffusion model
Boyang Zheng, Chumeng Liang, Xiaoyu Wu, and Yan Liu · 2023
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Autoregressive visual tracking
Xing Wei, Yifan Bai, Yongchao Zheng, Dahu Shi, and Yihong Gong · 2023
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Toward effective protection against diffusion-based mimicry through score distillation
Haotian Xue, Chumeng Liang, Xiaoyu Wu, and Yongxin Chen · 2023
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Ai imagery and the overton window
Sarah K Amer · 2023
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Amelia Katirai, Noa Garcia, Kazuki Ide, Yuta Nakashima, and Atsuo Kishimoto · 2023
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Destruction-restoration suppresses data protection perturbations against diffusion models
Tianrui Qin, Xitong Gao, Juanjuan Zhao, and Kejiang Ye · 2023
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Towards prompt-robust face privacy protection via adversarial decoupling augmentation framework
Ruijia Wu, Yuhang Wang, Huafeng Shi, Zhipeng Yu, Yichao Wu, and Ding Liang · 2023
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Codeswap: Symmetrically face swapping based on prior codebook
Xiangyang Luo, Xin Zhang, Yifan Xie, Xinyi Tong, Weijiang Yu, Heng Chang, Fei Ma, and Fei Richard Yu · 2024
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Human motion video generation: A survey
Haiwei Xue, Xiangyang Luo, Zhanghao Hu, Xin Zhang, Xunzhi Xiang, Yuqin Dai, Jianzhuang Liu, Zhensong Zhang, Minglei Li, Jian Yang, et al · 2024
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Artrackv2: Prompting autoregressive tracker where to look and how to describe
Yifan Bai, Zeyang Zhao, Yihong Gong, and Xing Wei · 2024
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Projecting points to axes: Oriented object detection via point-axis representation
Zeyang Zhao, Qilong Xue, Yuhang He, Yifan Bai, Xing Wei, and Yihong Gong · 2024
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Global self-sustaining and local inheritance for source-free unsupervised domain adaptation
Lin Peng, Yuhang He, Shaokun Wang, Xiang Song, Songlin Dong, Xing Wei, and Yihong Gong · 2024
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Junxi Chen, Junhao Dong, and Xiaohua Xie · 2024
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