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Bill Fulkerson

Fooling Neural Networks in the Physical World with 3D Adversarial Objects · l... - 0 views

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    "We've developed an approach to generate 3D adversarial objects that reliably fool neural networks in the real world, no matter how the objects are looked at."
Bill Fulkerson

http://www.crypto.com/papers/blaze-govtreform-20171129.pdf - 0 views

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    I offer three specific recommendations: * Paperless DRE voting machines should be immediately phased out from US elections in favor of systems, such as precinct-counted optical scan ballots, that leave a direct artifact of the voter's choice. * Statistical "risk limiting audits" should be used after every election to detect software failures and attacks. * Additional resources, infrastructure, and training should be made available to state and local voting officials to help them more effectively defend their systems against increasingly sophisticated adversaries.
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