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Terminal brain damage: exposing the graceless degradation in deep neural networks under hardware fault attacks

2019 · arXiv (Cornell University)

Deep neural networks (DNNs) have been shown to tolerate brain damage: cumulative changes to the network's parameters (e.g., pruning, numerical perturbations) typically result in a graceful degradation of classification accuracy. However, the limits of this …