Friday , December 9 2016

Google Researchers Make AI That Figures Its Own Encryption

Two AI algorithms effectively communicated without a 3rd being able to overhear.

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Alice and Bob have figured out some way to possess a conversation without Eve having the ability to overhear, regardless of however hard she tries.

But Alice and Bob are not humans who will whisper. They are artificial intelligence algorithms created by Google engineers, and their ability to make an encryption protocol that Eve (also an AI algorithm) cannot hack is being hailed as a crucial advance in machine learning and cryptography.

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The researchers, Martin Abadi and David G. Andersen, explained in a very paper printed in the week that their experiment is meant to search out out if neural networks—the building blocks of AI—can learn to speak secretly.

“Neural networks are usually not meant to be nice at cryptography,” the engineers wrote. So they created multiple versions of Alice and Bob to check which of them were best at keeping their transmissions hidden from Eve. That might be simple if Alice and Bob were given a human-created encryption protocol to run, however what regarding one that they’d to make themselves?

As the Abadi and Anderson wrote, “instead of training every of Alice and Bob individually to implement some known cryptosystem, we tend to train Alice and Bob conjointly to speak with success and to defeat Eve while not a pre-specified notion of what cryptosystem they’ll discover for this purpose.”

After multiple experiments powered by a computer with one GPU (Abadi and Anderson explain that the sort of hardware used isn’t important) Eve wasn’t able to perceive something regarding Bob and Alice’s transmissions.

The engineers acknowledge that their experiment merely proves that neural networks will create their own encryption, not that they are essentially smart at it. “While it looks unbelievable that neural networks would become nice at cryptanalysis, they’ll be quite effective in creating sense of metadata and in traffic analysis,” they wrote.

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