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BaFFLe: Backdoor detection via Feedback-based Federated Learning., , , and . CoRR, (2020)Poster: Privacy-Preserving Epidemiological Modeling on Mobile Graphs., , , , , , and . CCS, page 3351-3353. ACM, (2022)BaFFLe: Backdoor Detection via Feedback-based Federated Learning., , , and . ICDCS, page 852-863. IEEE, (2021)Privacy-preserving Density-based Clustering., , , , , and . AsiaCCS, page 658-671. ACM, (2021)FLAME: Taming Backdoors in Federated Learning., , , , , , , , , and 3 other author(s). USENIX Security Symposium, page 1415-1432. USENIX Association, (2022)SoK: Efficient Privacy-preserving Clustering., , , and . IACR Cryptol. ePrint Arch., (2021)FLGUARD: Secure and Private Federated Learning., , , , , , , , , and 1 other author(s). IACR Cryptol. ePrint Arch., (2021)Secure Noise Sampling for DP in MPC with Finite Precision., , , , and . IACR Cryptol. ePrint Arch., (2023)SAFELearn: Secure Aggregation for private FEderated Learning., , , , , , , , , and 1 other author(s). SP (Workshops), page 56-62. IEEE, (2021)Towards Practical Privacy-Preserving Clustering and Health Care Data Analyses.. Technical University of Darmstadt, Germany, (2023)