%0 Journal Article %1 journals/compsec/HuangYZDYY24 %A Huang, Yuxian %A Yang, Geng %A Zhou, Hao %A Dai, Hua %A Yuan, Dong %A Yu, Shui %D 2024 %J Comput. Secur. %K dblp %P 103562 %T VPPFL: A verifiable privacy-preserving federated learning scheme against poisoning attacks. %U http://dblp.uni-trier.de/db/journals/compsec/compsec136.html#HuangYZDYY24 %V 136

@article{journals/compsec/HuangYZDYY24, added-at = {2024-05-16T00:00:00.000+0200}, author = {Huang, Yuxian and Yang, Geng and Zhou, Hao and Dai, Hua and Yuan, Dong and Yu, Shui}, biburl = {https://www.bibsonomy.org/bibtex/2e2df08a1869a34d5cae362120d348a45/dblp}, ee = {https://doi.org/10.1016/j.cose.2023.103562}, interhash = {bab2e934f4f966d33f74c9d496d7dc78}, intrahash = {e2df08a1869a34d5cae362120d348a45}, journal = {Comput. Secur.}, keywords = {dblp}, month = {January}, pages = 103562, timestamp = {2024-05-20T07:12:16.000+0200}, title = {VPPFL: A verifiable privacy-preserving federated learning scheme against poisoning attacks.}, url = {http://dblp.uni-trier.de/db/journals/compsec/compsec136.html#HuangYZDYY24}, volume = 136, year = 2024 }