EPISODE · Feb 25, 2020 · 24 MIN

Adversarial Noise

from The Erium Podcast – Data Science & Machine Learning

Welche Auswirkungen können Hackerangriffe auf Neuronale Netze haben? Was ist Adversarial Noise? Und wie kann man sich dagegen schützen? All das erzählt uns Maksim Greiner in dieser neuen Folge von ‚The Erium Podcast‘.Das Jupyter Notebook und das passende CSV-File findet ihr unter diesem Link:https://gitlab.com/the-erium-podcast/the-erium-podcast/tree/masterDer Beitrag Adversarial Noise erschien zuerst auf The Erium Podcast - Data Science & Machine Learning.

Episode metadata supplied by the publisher feed · Published Feb 25, 2020

Embed this episode

Attribution link and audio player

NOW PLAYING

Adversarial Noise

0:00 24:18

1×

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.

Share this episode

Similar Episodes

No similar episodes found.

Similar Podcasts

No similar podcasts found.

Frequently Asked Questions

How long is this episode of The Erium Podcast – Data Science & Machine Learning?

This episode is 24 minutes long.

When was this The Erium Podcast – Data Science & Machine Learning episode published?

This episode was published on February 25, 2020.

Can I download this The Erium Podcast – Data Science & Machine Learning episode?

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

URL copied to clipboard!