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Adversarial attacks are valuable for evaluating the robustness of deep learning models.
An evaluation of the quantitative and radiation features of a scanning x-ray transverse axial tomograph: the emi scanner
Edwin C McCullough, Hillier L Baker Jr, O Wayne Houser, and David F Reese · 1974
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
Geoffrey Hinton, Li Deng, Dong Yu, George E. Dahl, Abdelrahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, and Tara N. Sainath · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. 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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Selective search for object recognition
Jasper RR Uijlings, Koen EA Van De Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Security analysis of a full-body scanner
Keaton Mowery, Eric Wustrow, Tom Wypych, Corey Singleton, Chris Comfort, Eric Rescorla, J Alex Halderman, Hovav Shacham, and Stephen Checkoway · 2014
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Fast r-cnn
Ross Girshick · 2015
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Adversarial examples in the physical world
Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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Deepfool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, and Pascal Frossard · 2016
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The limitations of deep learning in adversarial settings
Nicolas Papernot, Patrick McDaniel, Somesh Jha, Matt Fredrikson, Z Berkay Celik, and Ananthram Swami · 2016
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Neural architecture search with reinforcement learning
Barret Zoph and Quoc V Le · 2016
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Tom B Brown, Dandelion Mané, Aurko Roy, Martín Abadi, and Justin Gilmer · 2017
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Adversarial examples are not easily detected: Bypassing ten detection methods
Nicholas Carlini and David Wagner · 2017
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Detecting adversarial samples from artifacts
Reuben Feinman, Ryan R Curtin, Saurabh Shintre, and Andrew B Gardner · 2017
Cited alongside, same era.
Shapeshifter: Robust physical adversarial attack on faster r-cnn object detector
Shang-Tse Chen, Cory Cornelius, Jason Martin, and Duen Horng Polo Chau · 2018
Cited alongside, same era.
Robust physical-world attacks on deep learning visual classification
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, and Dawn Song · 2018
Cited alongside, same era.
Robust physical-world attacks on deep learning visual classification
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, and Dawn Song · 2018
Cited alongside, same era.
Assessing shape bias property of convolutional neural networks
Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal, and Radha Poovendran · 2018
Cited alongside, same era.
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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Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks
Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, and Bo Li · 2021
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Class-aware robust adversarial training for object detection
Pin-Chun Chen, Bo-Han Kung, and Jun-Cheng Chen · 2021
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Universal adversarial robustness of texture and shape-biased models
Kenneth T Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, and Emil C Lupu · 2021
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Libre: A practical bayesian approach to adversarial detection
Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, and Jun Zhu · 2021
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Dpatch: An adversarial patch attack on object detectors
Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Hai Li, and Yiran Chen · 2018
Cited alongside, same era.
Characterizing adversarial subspaces using local intrinsic dimensionality
Xingjun Ma, Bo Li, Yisen Wang, Sarah M Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E Houle, and James Bailey · 2018
Cited alongside, same era.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
Cited alongside, same era.
Adversarial sensor attack on lidar-based perception in autonomous driving
Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, and Z Morley Mao · 2019
Cited alongside, same era.
Benchmarking neural network robustness to common corruptions and perturbations
Dan Hendrycks and Thomas Dietterich · 2019
Cited alongside, same era.
Perceptual-sensitive gan for generating adversarial patches
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, and Dacheng Tao · 2019
Cited alongside, same era.
Sixray: A large-scale security inspection x-ray benchmark for prohibited item discovery in overlapping images
Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, and Qixiang Ye · 2019
Cited alongside, same era.
Training robust deep neural networks via adversarial noise propagation
Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, and Dacheng Tao · 2021
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Fixing data augmentation to improve adversarial robustness
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A Calian, Florian Stimberg, Olivia Wiles, and Timothy Mann · 2021
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Robustart: Benchmarking robustness on architecture design and training techniques
Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan Yuille, Philip H.S. Torr, and Dacheng Tao · 2021
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Towards real-world x-ray security inspection: A high-quality benchmark and lateral inhibition module for prohibited items detection
Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, and Xianglong Liu* · 2021
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Towards real-world x-ray security inspection: A high-quality benchmark and lateral inhibition module for prohibited items detection
Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, and Xianglong Liu · 2021
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Towards real-world prohibited item detection: A large-scale x-ray benchmark
Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, and Yanjun Wu · 2021
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Dual attention suppression attack: Generate adversarial camouflage in physical world
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, and Xianglong Liu · 2021
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Fooling thermal infrared pedestrian detectors in real world using small bulbs
Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, and Xiaolin Hu · 2021
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Adversarially-aware robust object detector
Ziyi Dong, Pengxu Wei, and Liang Lin · 2022
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Harnessing perceptual adversarial patches for crowd counting
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, and Dacheng Tao · 2022
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Exploring endogenous shift for cross-domain detection: A large-scale benchmark and perturbation suppression network
Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Hongping Zhi Bowei Jin and, Xianglong Liu, and Aishan Liu · 2022
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Few-shot x-ray prohibited item detection: A benchmark and weak-feature enhancement network
Renshuai Tao, Tianbo Wang, Ziyang Wu, Cong Liu, Aishan Liu, and Xianglong Liu · 2022
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Infrared invisible clothing: Hiding from infrared detectors at multiple angles in real world
Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, and Xiaolin Hu · 2022
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