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Defending against adversarial attacks using spherical sampling-based variational auto-encoder

Shenglin Yin, Xinglan Zhang, Li-yu Zuo

2022Neurocomputing17 citationsDOI

Topics & Concepts

MNIST databaseComputer scienceAutoencoderArtificial intelligenceRobustness (evolution)Classifier (UML)InferenceAdversarial systemDeep learningDeep neural networksPattern recognition (psychology)Artificial neural networkEncoderMachine learningOperating systemBiochemistryChemistryGeneAdversarial Robustness in Machine LearningAnomaly Detection Techniques and ApplicationsGenerative Adversarial Networks and Image Synthesis
Defending against adversarial attacks using spherical sampling-based variational auto-encoder | Litcius