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When an election is held we often employ a peculiar kind of logic. As we mull over the candidates we may have a top choice, but if we think our preferred candidate isn’t going to win we might vote for our second choice. Or maybe we cast a ballot for our second choice because we want to make sure that a frontrunner who doesn’t represent our view loses.

Professor Jeff Orchard and third-year undergraduate computer science student Louis Castricato received a best paper award at the 24th International Conference on Neural Informational Processing (ICONIP 2017) for their paper titled “Combating adversarial inputs using a predictive-estimator network.”

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