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  • Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks

    Zhao, Z., Huang, J., Chen, L. Y. & Roos, S., 2024, Financial Cryptography and Data Security - 27th International Conference, FC 2023, Revised Selected Papers. Baldimtsi, F. & Cachin, C. (eds.). Springer, p. 200-217 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13951).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • AGIC: Approximate Gradient Inversion Attack on Federated Learning

    Xu, J., Hong, C., Huang, J., Chen, L. Y. & Decouchant, J. E. A. P., 2023, 41st International Symposium on Reliable Distributed Systems (SRDS 2022 ). Ceballos, C. & Torres, H. (eds.). p. 12-22 11 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    17 Downloads (Pure)
  • Fabricated Flips: Poisoning Federated Learning without Data

    Huang, J., Zhao, Z., Chen, L. Y. & Roos, S., 2023, Proceedings of the 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2023. O'Conner, L. (ed.). Piscataway: IEEE, p. 274-287 14 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
    7 Downloads (Pure)
  • Maverick Matters: Client Contribution and Selection in Federated Learning

    Huang, J., Hong, C., Liu, Y., Chen, L. Y. & Roos, S., 2023, Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Proceedings. Kashima, H., Ide, T. & Peng, W-C. (eds.). Springer, p. 269-282 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13936 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
    12 Downloads (Pure)
  • An Exploratory Analysis on Users' Contributions in Federated Learning

    Huang, J., Talbi, R., Zhao, Z., Boucchenak, S., Chen, L. Y. & Roos, S., 2020, Proceedings - 2020 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020. Institute of Electrical and Electronics Engineers (IEEE), p. 20-29 10 p. 9325392. (Proceedings - 2020 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
    9 Citations (Scopus)
    44 Downloads (Pure)