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Deep learning models are vulnerable to adversarial examples.
A computational approach to edge detection
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Auditory attention to space and frequency activates similar cerebral systems
Evans A C Zatorre R J, Mondor T A · 1999
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Visual attention: Bottom-up versus top-down
Charles E. Connor, Howard E. Egeth, and Steven Yantis · 2004
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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Image quality metrics: Psnr vs. ssim
A. Horé and D. Ziou · 2010
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Acoustic modeling using deep belief networks
A. Mohamed, G. E. Dahl, and G. Hinton · 2012
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
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Explaining and harnessing adversarial examples
Goodfellow I J, Shlens J, and Szegedy C · 2014
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Very deep convolutional networks for large-scale image recognition
Zisserman A Simonyan K · 2014
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Sequence to sequence learning with neural networks
I Sutskever, O Vinyals, and QV Le · 2014
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Methodology and coronary artery disease cure
Michael Hentrich · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, and Kilian Q. Weinberger · 2016
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Adversarial examples in the physical world
Alexey Kurakin, Ian J. Goodfellow, and Samy Bengio · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, and Scott Reed · 2016
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Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition
Sharif M, Bhagavatula S, Bauer L, and Michael K. Reiter · 2016
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You only look once: Unified, real-time object detection
et al. Redmon, Joseph · 2016
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Learning deep features for discriminative localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
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Towards deep learning models resistant to adversarial attacks
Madry A., Makelov A., L. Schmidt, Tsipras D., and Vladu A · 2017
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Adversarial examples are not bugs, they are features
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, and Aleksander Madry · 2019
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Feature space perturbations yield more transferable adversarial examples
Nathan Inkawhich, Wei Wen, Hai (Helen) Li, and Yiran Chen · 2019
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Enhancing cross-task transferability of adversarial examples with dispersion reduction
Yunhan Jia, Yantao Lu, Senem Velipasalar, Zhenyu Zhong, and Tao Wei · 2019
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Perceptual-sensitive GAN for generating adversarial patches
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, and Dacheng Tao · 2019
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Robustness may be at odds with accuracy
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, and Aleksander Madry · 2019
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RPC: A large-scale retail product checkout dataset
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Anish Athalye, Logan Engstrom, Andrew Ilyas, and Kevin Kwok · 2017
Cited alongside, same era.
Adversarial patch
Tom B. Brown, Dandelion Mané, Aurko Roy, Martín Abadi, and Justin Gilmer · 2017
Cited alongside, same era.
CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Cited alongside, same era.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Adversarial examples in the physical world
Alexey Kurakin, Ian J. Goodfellow, and Samy Bengio · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks
A. Chattopadhay, A. Sarkar, P. Howlader, and V. N. Balasubramanian · 2018
Cited alongside, same era.
Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, and Lingqiao Liu · 2019
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Meshadv: Adversarial meshes for visual recognition
Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, and Mingyan Liu · 2019
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Improving transferability of adversarial examples with input diversity
Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, and Alan L. Yuille · 2019
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CAMOU: Learning physical vehicle camouflages to adversarially attack detectors in the wild
Yang Zhang, Hassan Foroosh, Philip David, and Boqing Gong · 2019
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Adversarial camouflage: Hiding physical-world attacks with natural styles
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, and Yun Yang · 2020
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Universal physical camouflage attacks on object detectors
Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L. Yuille, Changqing Zou, and Ning Liu · 2020
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Peer presence effects on eye movements and attentional performance
Tricoche L, Ferrand-Verdejo J, Pélisson D, and Meunier M · 2020
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Spatiotemporal attacks for embodied agents
Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, and Dacheng Tao · 2020
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Patch attack for automatic check-out
Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, and Hang Yu · 2020
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Interpreting and improving adversarial robustness with neuron sensitivity
Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, and Tianlin Li · 2020
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Understanding adversarial robustness via critical attacking route
Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, and Xiaofei Xie · 2021
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