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This paper introduces stochastic sparse adversarial attacks (SSAA), standing as simple, fast and purely noise-based targeted and untargeted attacks of neural network classifiers (NNC).
Generative adversarial networks, 2014
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Explaining and harnessing adversarial examples
I J Goodfellow, J Shlens, and C Szegedy · 2015
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Deep residual learning for image recognition, 2015
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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The limitations of deep learning in adversarial settings
N Papernot, P McDaniel, S Jha, M Fredrikson, Z Berkay Celik, , and A Swami · 2015
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Very deep convolutional networks for large-scale image recognition, 2015
Karen Simonyan and Andrew Zisserman · 2015
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, and Zbigniew Wojna · 2015
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Deepfool: a simple and accurate method to fool deep neural networks, 2016
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, and Pascal Frossard · 2016
Cited alongside, same era.
Towards evaluating the robustness of neural networks
N Carlini and D Wagner · 2017
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Adversarial examples in the physical world
A Kurabin, I J Goodfellow, and S Bengio · 2017
Cited alongside, same era.
Towards deep learning models resistant to adversarial attacks
A Madry, A Makelov, L Schmidt, D Tsipras, and A Vladu · 2017
Cited alongside, same era.
Analytic expressions for probabilistic moments of pl-dnn with gaussian input
Adel Bibi, Modar Alfadly, and Bernard Ghanem · 2018
Cited alongside, same era.
Accurate, reliable and fast robustness evaluation, 2019
Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, and Matthias Bethge · 2019
Sparsefool: a few pixels make a big difference, 2019
Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, and Pascal Frossard · 2019
Later among the works it cites.
Network Moments: Extensions and Sparse-Smooth Attacks
Modar Alfadly, Adel Bibi, Emilio Botero, Salman Alsubaihi, and Bernard Ghanem · 2020
Closest in time.
Probabilistic jacobian-based saliency maps attacks
Théo Combey, António Loison, Maxime Faucher, and Hatem Hajri · 2020
Closest in time.
Sparse-rs: a versatile framework for query-efficient sparse black-box adversarial attacks
Francesco Croce, Maksym Andriushchenko, Naman D. Singh, Nicolas Flammarion, and Matthias Hein · 2020
Closest in time.
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks, 2020
Francesco Croce and Matthias Hein · 2020
Closest in time.
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Cited alongside, same era.
Sparse and imperceivable adversarial attacks
Francesco Croce and Matthias Hein · 2019
Cited alongside, same era.
Cifar-10 (canadian institute for advanced research)
Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton
Cited in the paper.
Xiaoyi Dong, Dongdong Chen, Jianmin Bao, Chuan Qin, Lu Yuan, Weiming Zhang, Nenghai Yu, and Dong Chen · 2020
Closest in time.