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Sign recognition is an integral part of autonomous cars.
A computational approach to edge detection
J. Canny · 1986
Earlier work this paper cites.
A computational approach to edge detection
John Canny · 1987
Earlier work this paper cites.
Biometric authentication: a machine learning approach
SYMM Kung, M Mak, and S Lin · 2004
Earlier work this paper cites.
Fast Road Sign Detection Using Hough Transform for Assisted Driving of Road Vehicles
Miguel Ángel García-Garrido, Miguel Ángel Sotelo, and Ernesto Martín-Gorostiza · 2005
Earlier work this paper cites.
Adversarial learning
Daniel Lowd and Christopher Meek · 2005
Earlier work this paper cites.
Stealthy poisoning attacks on pca-based anomaly detectors
Benjamin IP Rubinstein, Blaine Nelson, Ling Huang, Anthony D Joseph, Shing-hon Lau, Satish Rao, Nina Taft, and JD Tygar · 2009
Earlier work this paper cites.
Near-optimal evasion of convex-inducing classifiers
Blaine Nelson, Benjamin IP Rubinstein, Ling Huang, Anthony D Joseph, Shing-hon Lau, Steven J Lee, Satish Rao, Anthony Tran, and J Doug Tygar · 2010
Earlier work this paper cites.
The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher K. I. Williams, John Winn, and Andrew Zisserman · 2010
Earlier work this paper cites.
Traffic sign recognition with multi-scale convolutional networks
P. Sermanet and Y. LeCun · 2011
Earlier work this paper cites.
Machine learning: a probabilistic perspective
Kevin P Murphy · 2012
Earlier work this paper cites.
ImageNet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Automatic recognition of road signs by hough transform: Road-gis
Vincenzo Barrile, Giuseppe M Meduri, and Domenico Cuzzocrea · 2012
Earlier work this paper cites.
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
J. Stallkamp, M. Schlipsing, J. Salmen, and C. Igel · 2012
Earlier work this paper cites.
Poisoning attacks against support vector machines
Battista Biggio, Blaine Nelson, and Pavel Laskov · 2012
Earlier work this paper cites.
Query strategies for evading convex-inducing classifiers
Blaine Nelson, Benjamin IP Rubinstein, Ling Huang, Anthony D Joseph, Steven J Lee, Satish Rao, and JD Tygar · 2012
Earlier work this paper cites.
Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey
A. Mogelmose, M. M. Trivedi, and T. 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.
Evasion attacks against machine learning at test time
Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Šrndić, Pavel Laskov, Giorgio Giacinto, and Fabio Roli · 2013
Earlier work this paper cites.
Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark
Sebastian Houben, Johannes Stallkamp, Jan Salmen, Marc Schlipsing, and Christian Igel · 2013
Earlier work this paper cites.
Security evaluation of support vector machines in adversarial environments
Battista Biggio, Igino Corona, Blaine Nelson, Benjamin IP Rubinstein, Davide Maiorca, Giorgio Fumera, Giorgio Giacinto, and Fabio Roli · 2014
Earlier work this paper cites.
Deepface: Closing the gap to human-level performance in face verification
Yaniv Taigman, Ming Yang, Marc’Aurelio Ranzato, and Lior Wolf · 2014
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 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Scalable electronics driving autonomous vehicle technologies
Fernando Mujica · 2014
Earlier work this paper cites.
Energy-efficient long-term continuous personal health monitoring
A. M. Nia, M. Mozaffari-Kermani, S. Sur-Kolay, A. Raghunathan, and N. K. Jha · 2015
Earlier work this paper cites.
Systematic poisoning attacks on and defenses for machine learning in healthcare
M. Mozaffari-Kermani, S. Sur-Kolay, A. Raghunathan, and N. K. Jha · 2015
Earlier work this paper cites.
Deepfool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, and Pascal Frossard · 2015
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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Traffic signs detection and tracking using modified hough transform
P. Yakimov and V. Fursov · 2015
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Analysis of classifiers’ robustness to adversarial perturbations
Alhussein Fawzi, Omar Fawzi, and Pascal Frossard · 2015
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Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
Anh Nguyen, Jason Yosinski, and Jeff Clune · 2015
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Is feature selection secure against training data poisoning?
Huang Xiao, Battista Biggio, Gavin Brown, Giorgio Fumera, Claudia Eckert, and Fabio Roli · 2015
Cited alongside, same era.
The security of latent dirichlet allocation
Delving into transferable adversarial examples and black-box attacks
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song · 2017
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Decision-based adversarial attacks: Reliable attacks against black-box machine learning models
Wieland Brendel, Jonas Rauber, and Matthias Bethge · 2017
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Exploring the space of black-box attacks on deep neural networks
Arjun Nitin Bhagoji, Warren He, Bo Li, and Dawn Song · 2017
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Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models
Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, and Cho-Jui Hsieh · 2017
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Synthesizing robust adversarial examples
Anish Athalye, Logan Engstrom, Andrew Ilyas, and Kevin Kwok · 2017
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Shike Mei and Xiaojin Zhu · 2015
Cited alongside, same era.
Remote attacks on automated vehicles sensors: Experiments on camera and lidar
Jonathan Petit, Bas Stottelaar, Michael Feiri, and Frank Kargl · 2015
Cited alongside, same era.
Faster R-CNN: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross B. Girshick, and Jian Sun · 2015
Cited alongside, same era.
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
Cited alongside, same era.
Self driving vehicles development platform
NVIDIA · 2016
Cited alongside, same era.
End to end learning for self-driving cars
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, et al · 2016
Cited alongside, same era.
Towards evaluating the robustness of neural networks
Nicholas Carlini and David A. Wagner · 2016
Cited alongside, same era.
Later among the works it cites.
Robust physical-world attacks on machine learning models
Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati, and Dawn Song · 2017
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Autopilot | tesla
Tesla · 2017
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Apple’s latest ai research explores the problem of mapping systems for self-driving cars
James Vincent · 2017
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http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_houghcircles/py_houghcircles.html
Hough circle transform — opencv-python tutorials 1 documentation · 2017
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http://scikit-image.org/docs/dev/user_guide/tutorial_segmentation.html
Image segmentation — skimage v0.14dev docs · 2017
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
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Feature squeezing: Detecting adversarial examples in deep neural networks
Weilin Xu, David Evans, and Yanjun Qi · 2017
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Magnet: a two-pronged defense against adversarial examples
Dongyu Meng and Hao Chen · 2017
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Magnet and" efficient defenses against adversarial attacks" are not robust to adversarial examples
Nicholas Carlini and David Wagner · 2017
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Ead: elastic-net attacks to deep neural networks via adversarial examples
Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, and Cho-Jui Hsieh · 2017
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Adversarial attacks on neural network policies
Sandy Huang, Nicolas Papernot, Ian Goodfellow, Yan Duan, and Pieter Abbeel · 2017
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Houdini: Fooling deep structured prediction models
Moustapha Cisse, Yossi Adi, Natalia Neverova, and Joseph Keshet · 2017
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On the robustness of semantic segmentation models to adversarial attacks
Anurag Arnab, Ondrej Miksik, and Philip HS Torr · 2017
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Adversarial examples for semantic image segmentation
Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, and Thomas Brox · 2017
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Adversarial examples for semantic segmentation and object detection
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, and Alan Yuille · 2017
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Adversarial examples that fool detectors
Jiajun Lu, Hussein Sibai, and Evan Fabry · 2017
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https://navoshta.com/traffic-signs-classification/
Traffic signs classification with a convolutional network - alex staravoitau’s blog · 2017
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Procmotive: Bringing programability and connectivity into isolated vehicles
A. Mosenia, J. F. Bechara, T. Zhang, P. Mittal, and M. Chiang · 2018
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Rogue signs: Deceiving traffic sign recognition with malicious ads and logos
Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, and Prateek Mittal · 2018
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http://www.vuethru.com/freesuperflip.html
freesuperflip · 2018
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Robust physical adversarial attack on faster r-cnn object detector
Shang-Tse Chen, Cory Cornelius, Jason Martin, and Duen Horng Chau · 2018
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