Episode 59: How to fool a smart camera with deep learning
May 07, 2019•24 min•Ep. 54
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Episode description
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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