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Episode Synopsis "Easily Fooling Deep Neural Networks"
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.
Listen "Easily Fooling Deep Neural Networks"
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- Computing Machinery and Intelligence by Alan Turing, part 5
- Computing Machinery and Intelligence by Alan Turing, part 4
- Computing Machinery and Intelligence by Alan Turing, part 3
- Computing Machinery and Intelligence by Alan Turing, part 2
- Computing Machinery and Intelligence by Alan Turing, part 1
- Bruce Wilcox - Chatbot creator and Loebner Prize Winner (full interview)
- Charlie Maloney - Journalist and Loebner Prize Judge (full interview)
- AI at Microsoft
- Deploying Machine Learning to Production with MS SQL Server
- Prophecy Fulfillment
- David Carmona, GM of AI at Microsoft
- Rohan Kumar, GM for the Database Systems Group at Microsoft
- Easily Fooling Deep Neural Networks
- Ernie Tedeschi, Economics, on Poll Re-Weighting
- Jill Darling, Survey Director for the Understanding America Study
- Introduction
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