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Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models

AAAI Conference on Artificial Intelligence (AAAI), 2024

21 August 2024

Papers citing "Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models"

27 / 27 papers shown

Title
Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Senmao Li Taihang Hu Fahad Shahbaz Khan Linxuan Li Shiqi Yang Yaxing Wang Ming-Ming Cheng Jian Yang DiffM 223 14 0 15 Dec 2023
Instruct2Attack: Language-Guided Semantic Adversarial Attacks Jiang-Long Liu Chen Wei Yuxiang Guo Heng Yu Yaoyao Liu Soheil Feizi Chun Pong Lau Rama Chellappa DiffM AAML 195 11 0 27 Nov 2023
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models Shawn Shan Wenxin Ding Josephine Passananti Stanley Wu Haitao Zheng Ben Y. Zhao SILM DiffM 361 80 0 20 Oct 2023
Toward effective protection against diffusion based mimicry through score distillationInternational Conference on Learning Representations (ICLR), 2023 Haotian Xue Chumeng Liang Xiaoyu Wu Yongxin Chen DiffM AAML 377 59 0 02 Oct 2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Zhizhong Wang Lei Zhao Wei Xing DiffM 241 197 0 15 Aug 2023
LEDITS: Real Image Editing with DDPM Inversion and Semantic Guidance Linoy Tsaban Apolinário Passos DiffM 176 57 0 02 Jul 2023
JPEG Compressed Images Can Bypass Protections Against AI Editing Pedro Sandoval-Segura Jonas Geiping Tom Goldstein DiffM 125 16 0 05 Apr 2023
Raising the Cost of Malicious AI-Powered Image EditingInternational Conference on Machine Learning (ICML), 2023 Hadi Salman Alaa Khaddaj Guillaume Leclerc Andrew Ilyas Aleksander Madry DiffM 228 157 0 13 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial ExamplesInternational Conference on Machine Learning (ICML), 2023 Chumeng Liang Xiaoyu Wu Yang Hua Jiaru Zhang Yiming Xue Tao Song Zhengui Xue Ruhui Ma Haibing Guan DiffM WIGM 213 178 0 09 Feb 2023
Glaze: Protecting Artists from Style Mimicry by Text-to-Image ModelsUSENIX Security Symposium (USENIX Security), 2023 Shawn Shan Jenna Cryan Emily Wenger Haitao Zheng Rana Hanocka Ben Y. Zhao WIGM 469 237 0 08 Feb 2023
Multi-Concept Customization of Text-to-Image DiffusionComputer Vision and Pattern Recognition (CVPR), 2022 Nupur Kumari Bin Zhang Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 623 1,142 0 08 Dec 2022
Inversion-Based Style Transfer with Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022 Yuxin Zhang Nisha Huang Fan Tang Haibin Huang Chongyang Ma Weiming Dong Changsheng Xu DiffM 251 384 0 23 Nov 2022
DreamFusion: Text-to-3D using 2D DiffusionInternational Conference on Learning Representations (ICLR), 2022 Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 778 3,110 0 29 Sep 2022
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021 Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer DiffM 1.9K 20,684 0 20 Dec 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng Yutong He Yang Song Jiaming Song Jiajun Wu Jun-Yan Zhu Stefano Ermon DiffM 563 1,879 0 02 Aug 2021
Diffusion Models Beat GANs on Image SynthesisNeural Information Processing Systems (NeurIPS), 2021 Prafulla Dhariwal Alex Nichol 2.1K 10,149 0 11 May 2021
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021 Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 2.0K 40,471 0 26 Feb 2021
Denoising Diffusion Implicit ModelsInternational Conference on Learning Representations (ICLR), 2020 Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 1.4K 10,037 0 06 Oct 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat ModelsInternational Conference on Learning Representations (ICLR), 2020 Cassidy Laidlaw Sahil Singla Soheil Feizi AAML OOD 363 209 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 4.5K 25,339 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020 Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 1.5K 19,430 0 17 Feb 2020
Sliced Score Matching: A Scalable Approach to Density and Score EstimationConference on Uncertainty in Artificial Intelligence (UAI), 2019 Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 354 475 0 17 May 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 1.6K 15,066 0 11 Jan 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 1.3K 13,634 0 19 Jun 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 3.0K 88,566 0 18 May 2015
Explaining and Harnessing Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2014 Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 1.4K 20,887 0 20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014 Karen Simonyan Andrew Zisserman FAtt MDE 3.6K 107,905 0 04 Sep 2014