Conference paperHybridalpha: An efficient approach for privacy-preserving federated learningRunhua Xu, Nathalie Baracaldo, et al.AISec/CCS 2019
Conference paperMitigating poisoning atacks on machine learning models: A data provenance based approachNathalie Baracaldo, Bryant Chen, et al.AISec 2017
Conference paperTowards taming the resource and data heterogeneity in federated learningZheng Chai, Hannan Fayyaz, et al.OpML 2019
Conference paperDeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust SettingRunhua Xu, Nathalie Baracaldo, et al.CLOUD 2022