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Recently, traffic sign recognition (TSR) systems have become a prominent target for physical adversarial attacks.
Efficiency of anti-stokes fluorescence in dyes
Aleksander Jablonski · 1933
Earlier work this paper cites.
Color gamut transform pairs
Alvy Ray Smith · 1978
Earlier work this paper cites.
The theory and measurement of bidirectional reflectance distribution function (brdf) and bidirectional transmittance distribution function (btdf)
Frederick O Bartell, Eustace L Dereniak, and William L Wolfe · 1981
Earlier work this paper cites.
A computational approach to edge detection
John Canny · 1986
Earlier work this paper cites.
Adaptive histogram equalization and its variations
Stephen M Pizer, E Philip Amburn, John D Austin, Robert Cromartie, Ari Geselowitz, Trey Greer, Bart ter Haar Romeny, John B Zimmerman, and Karel Zuiderveld · 1987
Earlier work this paper cites.
Particle swarm optimization
James Kennedy and Russell Eberhart · 1995
Earlier work this paper cites.
Principles of fluorescence spectroscopy
Joseph R Lakowicz · 2006
Earlier work this paper cites.
A brief history of fluorescence and phosphorescence before the emergence of quantum theory
Bernard Valeur and Mario N Berberan-Santos · 2011
Earlier work this paper cites.
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
Johannes Stallkamp, Marc Schlipsing, Jan Salmen, and Christian Igel · 2012
Earlier work this paper cites.
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
Earlier work this paper cites.
Molecular fluorescence: principles and applications
Bernard Valeur and Mário Nuno Berberan-Santos · 2013
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Openfluor–an online spectral library of auto-fluorescence by organic compounds in the environment
Kathleen R Murphy, Colin A Stedmon, Philip Wenig, and Rasmus Bro · 2014
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
Earlier work this paper cites.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Earlier work this paper cites.
Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
Earlier work this paper cites.
Hypernet: Towards accurate region proposal generation and joint object detection
Tao Kong, Anbang Yao, Yurong Chen, and Fuchun Sun · 2016
Earlier work this paper cites.
R-fcn: Object detection via region-based fully convolutional networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
Earlier work this paper cites.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
Earlier work this paper cites.
Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
Earlier work this paper cites.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Earlier work this paper cites.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
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Adversarial examples that fool detectors
Jiajun Lu, Hussein Sibai, and Evan Fabry · 2017
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Practical black-box attacks against machine learning
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z Berkay Celik, and Ananthram Swami · 2017
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Detection of ultrasonic waves using resonant cylindrical cavity for defense application
Ramesh C Sharma, Subodh Kumar, Surya Kumar Gautam, Saurabh Gupta, Deepak Kumar, and Hari B Srivastava · 2017
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Mitigating adversarial effects through randomization
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, and Alan Yuille · 2017
Cited alongside, same era.
Robust audio adversarial example for a physical attack
Understanding adversarial examples from the mutual influence of images and perturbations
Chaoning Zhang, Philipp Benz, Tooba Imtiaz, and In So Kweon · 2020
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Physically realizable adversarial examples for lidar object detection
James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, and Raquel Urtasun · 2020
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Physgan: Generating physical-world-resilient adversarial examples for autonomous driving
Zelun Kong, Junfeng Guo, Ang Li, and Cong Liu · 2020
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Targeted attention attack on deep learning models in road sign recognition
Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, and Dacheng Tao · 2020
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Adaptive square attack: Fooling autonomous cars with adversarial traffic signs
Yujie Li, Xing Xu, Jinhui Xiao, Siyuan Li, and Heng Tao Shen · 2020
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Hiromu Yakura and Jun Sakuma · 2018
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Adversarial examples in the physical world
Alexey Kurakin, Ian J Goodfellow, and Samy Bengio · 2018
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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
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Physical adversarial examples for object detectors
Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramer, Atul Prakash, and Tadayoshi Kohno · 2018
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Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
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Cascade r-cnn: Delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2018
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Rogue signs: Deceiving traffic sign recognition with malicious ads and logos
Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Prateek Mittal, and Mung Chiang · 2018
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Invisible perturbations: Physical adversarial examples exploiting the rolling shutter effect
Athena Sayles, Ashish Hooda, Mohit Gupta, Rahul Chatterjee, and Earlence Fernandes · 2021
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Patch-based attack on traffic sign recognition
Bin Ye, Huilin Yin, Jun Yan, and Wanchen Ge · 2021
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The translucent patch: A physical and universal attack on object detectors
Alon Zolfi, Moshe Kravchik, Yuval Elovici, and Asaf Shabtai · 2021
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Adversarial laser beam: Effective physical-world attack to dnns in a blink
Ranjie Duan, Xiaofeng Mao, A Kai Qin, Yuefeng Chen, Shaokai Ye, Yuan He, and Yun Yang · 2021
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Soundfence: Securing ultrasonic sensors in vehicles using physical-layer defense
Jianzhi Lou, Qiben Yan, Qing Hui, and Huacheng Zeng · 2021
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Crashes by time of day and day of week, 2021
NSC Injury Facts · 2021
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Rolling colors: Adversarial laser exploits against traffic light recognition
Chen Yan, Zhijian Xu, Zhanyuan Yin, Stefan Mangard, Xiaoyu Ji, Wenyuan Xu, Kaifa Zhao, Yajin Zhou, Ting Wang, Guofei Gu, et al · 2022
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Fooling the eyes of autonomous vehicles: Robust physical adversarial examples against traffic sign recognition systems
Wei Jia, Zhaojun Lu, Haichun Zhang, Zhenglin Liu, Jie Wang, and Gang Qu · 2022
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Adversarial sticker: A stealthy attack method in the physical world
Xingxing Wei, Ying Guo, and Jie Yu · 2022
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Shadows can be dangerous: Stealthy and effective physical-world adversarial attack by natural phenomenon
Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, and Xiangyang Ji · 2022
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Adversarial color film: Effective physical-world attack to dnns
Chengyin Hu and Weiwen Shi · 2022
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Does physical adversarial example really matter to autonomous driving? towards system-level effect of adversarial object evasion attack
Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, and Qi Alfred Chen · 2023
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Adversarial attack with raindrops
Jiyuan Liu, Bingyi Lu, Mingkang Xiong, Tao Zhang, and Huilin Xiong · 2023
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Tpatch: A triggered physical adversarial patch
Wenjun Zhu, Xiaoyu Ji, Yushi Cheng, Shibo Zhang, and Wenyuan Xu · 2023
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Light can be dangerous: Stealthy and effective physical-world adversarial attack by spot light
LI Yufeng, YANG Fengyu, LIU Qi, LI Jiangtao, and CAO Chenhong · 2023
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Manual on uniform traffic control devices for streets and highways, 2023.12
Manual on Uniform Traffic Control Devices · 2023
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Invisible reflections: Leveraging infrared laser reflections to target traffic sign perception
Takami Sato, Sri Hrushikesh Varma Bhupathiraju, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, and Sara Rampazzi · 2024
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Natural light can also be dangerous: Traffic sign misinterpretation under adversarial natural light attacks
Teng-Fang Hsiao, Bo-Lun Huang, Zi-Xiang Ni, Yan-Ting Lin, Hong-Han Shuai, Yung-Hui Li, and Wen-Huang Cheng · 2024
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Global ir-cut filter market research report, 2024
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