Episode 59: How to fool a smart camera with deep learning

05.07.2019 - By Data Science at Home

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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 Arxiv and made their source code available at https://gitlab.com/EAVISE/adversarial-yolo
Enjoy the show!
 
References
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys, Wiebe Van Ranst, Toon Goedemé
 
Eavise Research Group KULeuven (Belgium)https://iiw.kuleuven.be/onderzoek/eavise

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