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Content provided by Kyle Polich, data scientist, Kyle Polich, and Data scientist. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kyle Polich, data scientist, Kyle Polich, and Data scientist or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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Easily Fooling Deep Neural Networks

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Archived series ("Inactive feed" status)

When? This feed was archived on April 07, 2020 16:48 (4+ y ago). Last successful fetch was on June 28, 2019 13:06 (5y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 180837649 series 1455685
Content provided by Kyle Polich, data scientist, Kyle Polich, and Data scientist. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kyle Polich, data scientist, Kyle Polich, and Data scientist or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
This episode is from the Data Skeptic archives. I spoke to Ang Nuygen back in 2015 about his paper "Deep Neural Networks are Easily Fooled". This is another great example of Adversarial Learning so we wanted to re-release this episode for anyone that missed it or wants a refresher.
  continue reading

22 episodes

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Archived series ("Inactive feed" status)

When? This feed was archived on April 07, 2020 16:48 (4+ y ago). Last successful fetch was on June 28, 2019 13:06 (5y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 180837649 series 1455685
Content provided by Kyle Polich, data scientist, Kyle Polich, and Data scientist. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kyle Polich, data scientist, Kyle Polich, and Data scientist or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
This episode is from the Data Skeptic archives. I spoke to Ang Nuygen back in 2015 about his paper "Deep Neural Networks are Easily Fooled". This is another great example of Adversarial Learning so we wanted to re-release this episode for anyone that missed it or wants a refresher.
  continue reading

22 episodes

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