Adversarial attacks make imperceptible changes to a neural network’s inputs so that it recognizes it as something entirely different. This flaw can give us insight into how these networks work and how to make them more robust.
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Pereira, G.T., de Carvalho, A.C.P.L.F. Bringing robustness against adversarial attacks. Nat Mach Intell 1, 499–500 (2019). https://doi.org/10.1038/s42256-019-0116-2
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DOI: https://doi.org/10.1038/s42256-019-0116-2
