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Abstract

Devices are increasingly becoming “smart”—connected and interconnected—but the extent of that intelligence is limited. Using a reinforcement learning approach, this presentation will show how the available information and computation in such devices can be coopted to provide both an increase in security and in usability, adjusting over time to find the optimal balance for each and every user.