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Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare., , , , , and . CoRR, (2020)Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Neural Networks., , and . CoRR, (2018)Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training., , , , and . CoRR, (2019)Sensitivity of Deep Convolutional Networks to Gabor Noise., , and . CoRR, (2019)Don't fool Me!: Detection, Characterisation and Diagnosis of Spoofed and Masked Events in Wireless Sensor Networks., , and . IEEE Trans. Dependable Secur. Comput., 14 (3): 279-293 (2017)FedRAD: Federated Robust Adaptive Distillation., , , , , , and . CoRR, (2021)Label Sanitization Against Label Flipping Poisoning Attacks., , and . Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, volume 11329 of Lecture Notes in Computer Science, page 5-15. Springer, (2018)Universal Adversarial Robustness of Texture and Shape-Biased Models., , , , and . ICIP, page 799-803. IEEE, (2021)Security and Robustness in Federated Learning., , , and . Federated Learning, Springer, (2022)Defending against poisoning attacks in online learning settings., , and . ESANN, (2019)