Episode 59: How to fool a smart camera with deep learning - a podcast by Francesco Gadaleta

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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Further podcasts by Francesco Gadaleta

Website of Francesco Gadaleta