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We propose a new real-world attack against the computer vision based systems of autonomous vehicles (AVs).
A computational approach to edge detection
J. Canny · 1986
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.
Traffic sign recognition with multi-scale convolutional networks
P. Sermanet and Y. LeCun · 2011
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Machine learning: a probabilistic perspective
Kevin P Murphy · 2012
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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.
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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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.
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.
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
Cited alongside, same era.
Deepfool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, and Pascal Frossard · 2015
Cited alongside, same era.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
Cited alongside, same era.
Traffic signs detection and tracking using modified hough transform
P. Yakimov and V. Fursov · 2015
Cited alongside, same era.
Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition
Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter · 2016
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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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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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Synthesizing robust adversarial examples
Anish Athalye, Logan Engstrom, Andrew Ilyas, and Kevin Kwok · 2017
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Nicholas Carlini and David A. Wagner · 2016
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.
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
Later among the works it cites.
https://navoshta.com/traffic-signs-classification/
Traffic signs classification with a convolutional network - alex staravoitau’s blog · 2017
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Darts: Deceiving autonomous cars with toxic signs
Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, and Prateek Mittal · 2018
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