In this episode I met three crazy researchers from KULeuven (Belgium) who found a method to fool surveillance cameras and stay hidden just by holding a special t-shirt.  
We discussed about the technique they used and some consequences of their findings.
They published their paper on <a href='https://arxiv.org/abs/1904.08653'>Arxiv</a> and made their source code available at <a href='https://gitlab.com/EAVISE/adversarial-yolo'>https://gitlab.com/EAVISE/adversarial-yolo</a>
Enjoy the show!
 
References
<a href='https://arxiv.org/abs/1904.08653'>Fooling automated surveillance cameras: adversarial patches to attack person detection </a> 
<a href='https://arxiv.org/search/cs?searchtype=author&query=Thys%2C+S'>Simen Thys</a>, <a href='https://arxiv.org/search/cs?searchtype=author&query=Van+Ranst%2C+W'>Wiebe Van Ranst</a>, <a href='https://arxiv.org/search/cs?searchtype=author&query=Goedem%C3%A9%2C+T'>Toon Goedemé</a>
 
Eavise Research Group KULeuven (Belgium) 
<a href='https://iiw.kuleuven.be/onderzoek/eavise'>https://iiw.kuleuven.be/onderzoek/eavise</a>

Episode 60: Predicting your mouse click (and a crash course in deeplearning)

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