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Label Leakage from Gradients in Distributed Machine Learning.

, , , и . CCNC, стр. 1-4. IEEE, (2021)

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Другие публикации лиц с тем же именем

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., , , , и . ENASE, стр. 269-280. SCITEPRESS, (2021)Enabling Privacy-Preserving Rule Mining in Decentralized Social Networks., , , , и . ARES, стр. 27:1-27:11. ACM, (2021)Tweet beyond the Cage: A Hybrid Solution for the Privacy Dilemma in Online Social Networks., , , , и . GLOBECOM, стр. 1-6. IEEE, (2019)User Label Leakage from Gradients in Federated Learning., , , , , , , , и . CoRR, (2021)On generating network traffic datasets with synthetic attacks for intrusion detection., , , , и . CoRR, (2019)Efficient privacy-preserving recommendations based on social graphs., , , и . RecSys, стр. 78-86. ACM, (2019)Label Leakage from Gradients in Distributed Machine Learning., , , и . CCNC, стр. 1-4. IEEE, (2021)The Relevance of Privacy Concerns, Trust, and Risk for Hybrid Social Media., , , , и . ENASE (Selected Papers), том 1556 из Communications in Computer and Information Science, стр. 88-111. Springer, (2021)Enhancing Privacy via Hierarchical Federated Learning., , , и . EuroS&P Workshops, стр. 344-347. IEEE, (2020)