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.

Easily Fooling Deep Neural Networks

Extended and extra material for people that like Data Skeptic.

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In this episode, Kyle interviews skeptical author Robert Sheaffer on the topic of UFOs.  Robert shares his research into the history of this subject, the cultural implications, and a few noteworthy events and personalities in the UFO folklore.

Robert Sheaffer

A reading of Alan Turing's classic paper asking whether or not a machine can think.  This is part 10 of 10

Computing Machinery and Intelligence by Alan Turing, part 10

A reading of Alan Turing's classic paper asking whether or not a machine can think.  This is part 9 of 10

Computing Machinery and Intelligence by Alan Turing, part 9

A reading of Alan Turing's classic paper asking whether or not a machine can think.  This is part 8 of 10

Computing Machinery and Intelligence by Alan Turing, part 8

A reading of Alan Turing's classic paper asking whether or not a machine can think.  This is part 7 of 10

Easily Fooling Deep Neural Networks

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