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On Privacy-Enhanced Distributed Analytics in Online Social Networks.. Technical University of Darmstadt, Germany, (2022)Mitigating Privacy Concerns by Developing Trust-related Software Features for a Hybrid Social Media Application., , , , and . ENASE, page 269-280. SCITEPRESS, (2021)Enabling Privacy-Preserving Rule Mining in Decentralized Social Networks., , , , and . ARES, page 27:1-27:11. ACM, (2021)Tweet beyond the Cage: A Hybrid Solution for the Privacy Dilemma in Online Social Networks., , , , and . GLOBECOM, page 1-6. IEEE, (2019)User Label Leakage from Gradients in Federated Learning., , , , , , , , and . CoRR, (2021)Label Leakage from Gradients in Distributed Machine Learning., , , and . CCNC, page 1-4. IEEE, (2021)Efficient privacy-preserving recommendations based on social graphs., , , and . RecSys, page 78-86. ACM, (2019)On generating network traffic datasets with synthetic attacks for intrusion detection., , , , and . CoRR, (2019)On Generating Network Traffic Datasets with Synthetic Attacks for Intrusion Detection., , , , and . ACM Trans. Priv. Secur., 24 (2): 8:1-8:39 (2021)The Relevance of Privacy Concerns, Trust, and Risk for Hybrid Social Media., , , , and . ENASE (Selected Papers), volume 1556 of Communications in Computer and Information Science, page 88-111. Springer, (2021)