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A Melting Pot of Evolution and Learning
We survey eight recent works by our group, involving the successful blending of evolutionary algorithms with machine learning and deep learning: 1.
An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks
Deep neural networks (DNNs) are sensitive to adversarial data in a variety of scenarios, including the black-box scenario, where the attacker is only allowed to query the trained model and receive an output.
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