Machine learning security needs new perspectives and incentives
At this year’s International Conference on Learning Representations (ICLR), a team of researchers from the University of Maryland presented an attack technique meant to slow down deep learning models that have been optimized for fast and sensitive operations. The attack, aptly named DeepSloth, targets “adaptive deep neural networks,” a range of deep learning architectures that cut down computations to speed up processing.
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