Archive for June 2018

Attacking deep learning models

Compromising AI for fun and profit

 

Deep learning models have shown very promising results in computer vision and sound recognition. As more and more deep learning based systems get integrated in disparate domains, they will keep affecting the life of people. Autonomous vehicles, medical imaging and banking applications, surveillance cameras and drones, digital assistants, are only a few real applications where deep learning plays a fundamental role. A malfunction in any of these applications will affect the quality of such integrated systems and compromise the security of the individuals who directly or indirectly use them.

In this episode, we explain how machine learning models can be attacked and what we can do to protect intelligent systems from being  compromised.

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Today I am having a conversation with Filip Piękniewski, researcher working on computer vision and AI at Koh Young Research America.
His adventure with AI started in the 90s and since then a long list of experiences at the intersection of computer science and physics, led him to the conclusion that deep learning might not be sufficient nor appropriate to solve the problem of intelligence, specifically artificial intelligence.  
I read some of his publications and got familiar with some of his ideas. Honestly, I have been attracted by the fact that Filip does not buy the hype around AI and deep learning in particular.
He doesn’t seem to share the vision of folks like Elon Musk who claimed that we are going to see an exponential improvement in self driving cars among other things (he actually said that before a Tesla drove over a pedestrian).

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In the attempt of democratizing machine learning, data scientists should have the possibility to train their models on data they do not necessarily own, nor see. A model that is privately trained should be verified and uniquely identified across its entire life cycle, from its random initialization to setting the optimal values of its parameters.
How does blockchain allow all this? Fitchain is the decentralized machine learning platform that provides models an identity and a certification of their training procedure, the proof-of-train

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I know, I have been away too long without publishing much in the last 3 months.
But, there's a reason for that. I have been building a platform that combines machine learning with blockchain technology.
Let me introduce you to fitchain and tell you more in this episode.

If you want to collaborate on the project or just think it's interesting, drop me a line on the contact page at fitchain.io

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