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Neural networks are vulnerable to adversarially-constructed perturbations of their inputs.
Algorithms for verifying deep neural networks
Changliu Liu, Tomer Arnon, Christopher Lazarus, Clark Barrett, and Mykel J. Kochenderfer · 1903
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AT-GAN: A generative attack model for adversarial transferring on generative adversarial nets
Xiaosen Wang, Kun He, and John E. Hopcroft · 1904
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Global adversarial attacks for assessing deep learning robustness
Hanbin Hu, Mit Shah, Jianhua Z. Huang, and Peng Li · 1906
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Adversarial attacks and defenses in images, graphs and text: A review
Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, and Anil Jain · 1909
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MNIST handwritten digit database, 1998
Yann LeCun, Corinna Cortes, and Chris Burges · 1998
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Regularization of neural networks using dropconnect
Li Wan, Matthew D. Zeiler, Sixin Zhang, Yann LeCun, and Rob Fergus · 2013
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Generative adversarial nets
Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C Courville, and Yoshua Bengio · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, and Rob Fergus · 2014
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Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Deep Learning
Ian J. Goodfellow, Yoshua Bengio, and Aaron C. Courville · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Improved techniques for training GANs
Tim Salimans, Ian J Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Wasserstein generative adversarial networks
Martín Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David A. Wagner · 2017
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NIPS 2016 tutorial: Generative adversarial networks
Ian J Goodfellow · 2017
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Improved training of Wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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Delving into transferable adversarial examples and black-box attacks
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song · 2017
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Towards deep learning models resistant to adversarial attacks
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
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Generative adversarial perturbations
Omid Poursaeed, Isay Katsman, Bicheng Gao, and Serge J. Belongie · 2018
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Global robustness evaluation of deep neural networks with provable guarantees for L0 norm
Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, and Marta Kwiatkowska · 2018
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Towards the first adversarially robust neural network model on MNIST
Lukas Schott, Jonas Rauber, Wieland Brendel, and Matthias Bethge · 2018
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Are adversarial examples inevitable?
Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, and Tom Goldstein · 2018
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Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
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Conditional image synthesis with auxiliary classifier GANs
Augustus Odena, Christopher Olah, and Jonathon Shlens · 2017
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Learning to attack: Adversarial transformation networks
Shumeet Baluja and Ian Fischer · 2018
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Unrestricted adversarial examples
Tom B Brown, Nicholas Carlini, Chiyuan Zhang, Catherine Olsson, Paul Francis Christiano, and Ian J Goodfellow · 2018
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Provable robustness of ReLU networks via maximization of linear regions
Francesco Croce, Maksym Andriushchenko, and Matthias Hein · 2018
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Learning universal adversarial perturbations with generative models
Jamie Hayes and George Danezis · 2018
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RMDL: random multimodel deep learning for classification
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, and Laura E. Barnes · 2018
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How good is my gan?
Konstantin Shmelkov, Cordelia Schmid, and Karteek Alahari · 2018
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Constructing unrestricted adversarial examples with generative models
Yang Song, Rui Shu, Nate Kushman, and Stefano Ermon · 2018
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Mixtrain: Scalable training of formally robust neural networks
Shiqi Wang, Yizheng Chen, Ahmed Abdou, and Suman Jana · 2018
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Provable defenses against adversarial examples via the convex outer adversarial polytope
Eric Wong and J. Zico Kolter · 2018
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Generating adversarial examples with adversarial networks
Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, and Dawn Song · 2018
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Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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A general framework for adversarial examples with objectives
Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter · 2019
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Self-attention generative adversarial networks
Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, and Augustus Odena · 2019
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