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Diffusion models have been recently employed to improve certified robustness through the process of denoising.
Reverse-time diffusion equation models
Brian DO Anderson · 1982
Earlier work this paper cites.
Denoising diffusion probabilistic models, 2020
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2006
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
Earlier work this paper cites.
Stochastic differential equations: an introduction with applications
Bernt Oksendal · 2013
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Sergey Zagoruyko and Nikos Komodakis · 2016
Earlier work this paper cites.
Differentiable abstract interpretation for provably robust neural networks
Matthew Mirman, Timon Gehr, and Martin Vechev · 2018
Earlier work this paper cites.
Defense-gan: Protecting classifiers against adversarial attacks using generative models
Pouya Samangouei, Maya Kabkab, and Rama Chellappa · 2018
Earlier work this paper cites.
Pixeldefend: Leveraging generative models to understand and defend against adversarial examples
Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, and Nate Kushman · 2018
Earlier work this paper cites.
Efficient neural network robustness certification with general activation functions
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, and Luca Daniel · 2018
Earlier work this paper cites.
Certified adversarial robustness via randomized smoothing
Jeremy Cohen, Elan Rosenfeld, and Zico Kolter · 2019
Earlier work this paper cites.
Implicit generation and modeling with energy based models
Yilun Du and Igor Mordatch · 2019
Cited alongside, same era.
Certified robustness to adversarial examples with differential privacy
Mathias Lecuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, and Suman Jana · 2019
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Your classifier is secretly an energy based model and you should treat it like one
Will Grathwohl, Kuan-Chieh Wang, Joern-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, and Kevin Swersky · 2020
Cited alongside, same era.
Consistency regularization for certified robustness of smoothed classifiers
Jongheon Jeong and Jinwoo Shin · 2020
Cited alongside, same era.
Boosting randomized smoothing with variance reduced classifiers
Miklós Z Horváth, Mark Niklas Müller, Marc Fischer, and Martin Vechev · 2021
Later among the works it cites.
Smoothmix: Training confidence-calibrated smoothed classifiers for certified robustness
Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, and Jinwoo Shin · 2021
Later among the works it cites.
Provable defense by denoised smoothing with learned score function
Kyungmin Lee · 2021
Later among the works it cites.
Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
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Score-based generative modeling in latent space
Arash Vahdat, Karsten Kreis, and Jan Kautz · 2021
Later among the works it cites.
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Denoised smoothing: A provable defense for pretrained classifiers
Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, and J Zico Kolter · 2020
Cited alongside, same era.
Macer: Attack-free and scalable robust training via maximizing certified radius
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, and Liwei Wang · 2020
Cited alongside, same era.
Beit: Bert pre-training of image transformers
Hangbo Bao, Li Dong, and Furu Wei · 2021
Cited alongside, same era.
Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
Cited alongside, same era.
Stochastic security: Adversarial defense using long-run dynamics of energy-based models
Mitch Hill, Jonathan Craig Mitchell, and Song-Chun Zhu · 2021
Cited alongside, same era.
Certified defenses against adversarial examples
Aditi Raghunathan, Jacob Steinhardt, and Percy Liang
Cited in the paper.
Semidefinite relaxations for certifying robustness to adversarial examples
Aditi Raghunathan, Jacob Steinhardt, and Percy S Liang
Cited in the paper.
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, and J Zico Kolter · 2021
Later among the works it cites.
(certified!!) adversarial robustness for free!
Nicholas Carlini, Florian Tramer, J Zico Kolter, et al · 2022
Closest in time.
Diffusion models for adversarial purification
Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, and Anima Anandkumar · 2022
Closest in time.
Pointdp: Diffusion-driven purification against adversarial attacks on 3d point cloud recognition
Jiachen Sun, Weili Nie, Zhiding Yu, Z Morley Mao, and Chaowei Xiao · 2022
Closest in time.
Guided diffusion model for adversarial purification from random noise
Quanlin Wu, Hang Ye, and Yuntian Gu · 2022
Closest in time.