A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions
Evgenia Rusak, Lukas Schott, R. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
Topics & Concepts
MNIST databaseArtificial intelligenceComputer scienceGaussianDeep neural networksAdversarial systemBenchmark (surveying)Simple (philosophy)UncorrelatedImage (mathematics)Artificial neural networkPattern recognition (psychology)AlgorithmMachine learningMathematicsPhysicsGeographyStatisticsEpistemologyQuantum mechanicsGeodesyPhilosophyAdversarial Robustness in Machine LearningDomain Adaptation and Few-Shot LearningAnomaly Detection Techniques and Applications