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Adversarial attacks against deep learning-based object detectors have been studied extensively in the past few years.
Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey
Andreas Mogelmose, Mohan Manubhai Trivedi, and Thomas B Moeslund · 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.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
The pascal visual object classes challenge: A retrospective
Mark Everingham, SM Eslami, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2015
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.
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, et al · 2015
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.
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.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Earlier work this paper cites.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 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.
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, and Pascal Frossard · 2017
Earlier work this paper cites.
Yolo9000: better, faster, stronger
Joseph Redmon and Ali Farhadi · 2017
Earlier work this paper cites.
Threat of adversarial attacks on deep learning in computer vision: A survey
Naveed Akhtar and Ajmal Mian · 2018
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.
Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
Cited alongside, same era.
Darts: Deceiving autonomous cars with toxic signs
Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, and Prateek Mittal · 2018
Cited alongside, same era.
Universal physical camouflage attacks on object detectors
Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L Yuille, Changqing Zou, and Ning Liu · 2020
Later among the works it cites.
Making an invisibility cloak: Real world adversarial attacks on object detectors
Zuxuan Wu, Ser-Nam Lim, Larry S Davis, and Tom Goldstein · 2020
Later among the works it cites.
Adversarial t-shirt! evading person detectors in a physical world
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, and Xue Lin · 2020
Later among the works it cites.
Bad characters: Imperceptible nlp attacks
Nicholas Boucher, Ilia Shumailov, Ross Anderson, and Nicolas Papernot · 2021
Later among the works it cites.
ultralytics/yolov5: v6.0 - yolov5n ’nano’ models, roboflow integration, tensorflow export, opencv dnn support, oct 2021
Glenn Jocher · 2021
Later among the works it cites.
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Predicting driver attention in critical situations
Ye Xia, Danqing Zhang, Jinkyu Kim, Ken Nakayama, Karl Zipser, and David Whitney · 2018
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Cited alongside, same era.
Fooling automated surveillance cameras: adversarial patches to attack person detection
Simen Thys, Wiebe Van Ranst, and Toon Goedemé · 2019
Cited alongside, same era.
Yolov4: Optimal speed and accuracy of object detection
Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao · 2020
Cited alongside, same era.
Neighbors from hell: Voltage attacks against deep learning accelerators on multi-tenant fpgas
Andrew Boutros, Mathew Hall, Nicolas Papernot, and Vaughn Betz · 2020
Cited alongside, same era.
The mapillary traffic sign dataset for detection and classification on a global scale
Christian Ertler, Jerneja Mislej, Tobias Ollmann, Lorenzo Porzi, Gerhard Neuhold, and Yubin Kuang · 2020
Cited alongside, same era.
A panda? no, it’s a sloth: Slowdown attacks on adaptive multi-exit neural network inference
Sanghyun Hong, Yiğitcan Kaya, Ionuţ-Vlad Modoranu, and Tudor Dumitraş · 2020
Cited alongside, same era.
Ziv Katzir and Yuval Elovici · 2021
Later among the works it cites.
Sponge examples: Energy-latency attacks on neural networks
Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert Mullins, and Ross Anderson · 2021
Later among the works it cites.
Scaled-yolov4: Scaling cross stage partial network
Chien-Yao Wang, Alexey Bochkovskiy, and Hong-Yuan Mark Liao · 2021
Later among the works it cites.
Daedalus: Breaking nonmaximum suppression in object detection via adversarial examples
Derui Wang, Chaoran Li, Sheng Wen, Qing-Long Han, Surya Nepal, Xiangyu Zhang, and Yang Xiang · 2021
Later among the works it cites.
A survey on universal adversarial attack
Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, and In So Kweon · 2021
Later among the works it cites.
The translucent patch: A physical and universal attack on object detectors
Alon Zolfi, Moshe Kravchik, Yuval Elovici, and Asaf Shabtai · 2021
Later among the works it cites.
Energy-latency attacks via sponge poisoning
Antonio Emanuele Cinà, Ambra Demontis, Battista Biggio, Fabio Roli, and Marcello Pelillo · 2022
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