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

EPISODE · May 7, 2019 · 24 MIN

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

from Data Science at Home · host 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

Episode metadata supplied by the publisher feed · Published May 7, 2019

Embed this episode

NOW PLAYING

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

0:00 24:11

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Data Science at Home?

This episode is 24 minutes long.

When was this Data Science at Home episode published?

This episode was published on May 7, 2019.

Can I download this Data Science at Home episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!