“Robust Physical-World Attacks on Deep Learning Models”, Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati, Dawn Song (alphabetical order) (arXiv:1707.08945)
[IEEE Spectrum] http://spectrum.ieee.org/cars-that-think/transportation/sensors/slight-street-sign-modifications-can-fool-machine-learning-algorithms [Yahoo News] https://sg.news.yahoo.com/researchers-demonstrate-limits-driverless-car-technology-151138885.html [Wired] https://www.wired.com/story/security-news-august-5-2017 [Engagdet]https://www.engadget.com/2017/08/06/altered-street-signs-confuse-self-driving-cars/
[Telegraph] http://www.telegraph.co.uk/technology/2017/08/07/graffiti-road-signs-could-trick-driverless-cars-driving-dangerously/ [Car and Driver] http://blog.caranddriver.com/researchers-find-a-malicious-way-to-meddle-with-autonomous-cars/ [CNET] https://www.cnet.com/roadshow/news/it-is-surprisingly-easy-to-bamboozle-a-self-driving-car/ [Digital Trends] https://www.digitaltrends.com/cars/self-driving-cars-confuse-stickers-signs/ [SCMagazine] https://www.scmagazine.com/subtle-manipulation-of-street-signs-can-fool-self-driving-cars-researchers-report/article/680146/ [Schneier on Security] [Ars Technica]https://arstechnica.com/cars/2017/09/hacking-street-signs-with-stickers-could-confuse-self-driving-cars/?amp=3D1
[Fortune] http://fortune.com/2017/09/02/researchers-show-how-simple-stickers-could-trick-self-driving-cars/