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Traditional adversarial attacks concentrate on manipulating clean examples in the pixel space by adding adversarial perturbations.
Towards feature space adversarial attack
Qiuling Xu, Guanhong Tao, Siyuan Cheng, and Xiangyu Zhang · 2004
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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
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Deep inside convolutional networks: Visualising image classification models and saliency maps
Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2013
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Rethinking the inception architecture for computer vision. 2015
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, and Zbigniew Wojna · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Grad-cam: visual explanations from deep networks via gradient-based localization. 2016
RR Selvaraju, M Cogswell, A Das, R Vedantam, D Parikh, and D Batra · 2016
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 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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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Mikołaj Bińkowski, Danica J Sutherland, Michael Arbel, and Arthur Gretton · 2018
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Unrestricted adversarial examples
Tom B Brown, Nicholas Carlini, Chiyuan Zhang, Catherine Olsson, Paul Christiano, and Ian Goodfellow · 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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Semantic adversarial examples
Hossein Hosseini and Radha Poovendran · 2018
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Constructing unrestricted adversarial examples with generative models
Yang Song, Rui Shu, Nate Kushman, and Stefano Ermon · 2018
Cited alongside, same era.
Spatially transformed adversarial examples
Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, and Dawn Song · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
Unrestricted adversarial examples via semantic manipulation
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, and David A Forsyth · 2019
Cited alongside, same era.
Semantic adversarial attacks: Parametric transformations that fool deep classifiers
Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, and Chinmay Hegde · 2019
Cited alongside, same era.
Colorfool: Semantic adversarial colorization
Ali Shahin Shamsabadi, Ricardo Sanchez-Matilla, and Andrea Cavallaro · 2020
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Attribute-aware generative design with generative adversarial networks
Chenxi Yuan and Mohsen Moghaddam · 2020
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Pytorch library for cam methods
Jacob Gildenblat and contributors · 2021
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Demiguise attack: Crafting invisible semantic adversarial perturbations with perceptual similarity
Yajie Wang, Shangbo Wu, Wenyi Jiang, Shengang Hao, Yu-an Tan, and Quanxin Zhang · 2021
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Diffusionclip: Text-guided diffusion models for robust image manipulation
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Full-gradient representation for neural network visualization
Suraj Srinivas and François Fleuret · 2019
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Theoretically principled trade-off between robustness and accuracy
Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric Xing, Laurent El Ghaoui, and Michael Jordan · 2019
Cited alongside, same era.
Admm attack: an enhanced adversarial attack for deep neural networks with undetectable distortions
Pu Zhao, Kaidi Xu, Sijia Liu, Yanzhi Wang, and Xue Lin · 2019
Cited alongside, same era.
Understanding the role of individual units in a deep neural network
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Agata Lapedriza, Bolei Zhou, and Antonio Torralba · 2020
Cited alongside, same era.
Stargan v2: Diverse image synthesis for multiple domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
Cited alongside, same era.
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Gwanghyun Kim, Taesung Kwon, and Jong Chul Ye · 2022
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Diffusion models already have a semantic latent space
Mingi Kwon, Jaeseok Jeong, and Youngjung Uh · 2022
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Unrestricted black-box adversarial attack using gan with limited queries
Dongbin Na, Sangwoo Ji, and Jong Kim · 2022
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Diffusion models for adversarial purification
Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, and Anima Anandkumar · 2022
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Guided diffusion model for adversarial purification
Jinyi Wang, Zhaoyang Lyu, Dahua Lin, Bo Dai, and Hongfei Fu · 2022
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Guided diffusion model for adversarial purification from random noise
Quanlin Wu, Hang Ye, and Yuntian Gu · 2022
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A branch and bound framework for stronger adversarial attacks of relu networks
Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, and Zico Kolter · 2022
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Are diffusion models vulnerable to membership inference attacks?
Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, and Kaidi Xu · 2023
Closest in time.
Remind: Recovery of missing neuroimaging using diffusion models with application to alzheimer’s disease
Chenxi Yuan, Jinhao Duan, Nicholas J Tustison, Kaidi Xu, Rebecca A Hubbard, and Kristin A Linn · 2023
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