随笔分类 -  【三期操志强】

【三期操志强】CCF-A(USENIX SS'20)Local model poisoning attacks to Byzantine-robust federated learning.
摘要：M. Fang, X. Cao, J. Jia, & N. Gong, N. “Local model poisoning attacks to Byzantine-robust federated learning,” in 29th {USENIX} Security Symposium ({U 阅读全文
posted @ 2020-11-27 14:26 方班隐私保护小组 阅读(87) 评论(0) 推荐(0) 编辑
【三期操志强】CCF-C(AISTATS'20)How to backdoor federated learning.
摘要：E. Bagdasaryan, A. Veit, Y. Hua, D. Estrin, & V. Shmatikov, “How to backdoor federated learning,” in International Conference on Artificial Intelligen 阅读全文
posted @ 2020-11-20 08:29 方班隐私保护小组 阅读(71) 评论(0) 推荐(0) 编辑
【三期操志强】CCF-C(FGCS'19)Blockchain based searchable encryption for electronic health record sharing.
摘要：Chen, Lanxiang , et al. "Blockchain based searchable encryption for electronic health record sharing." Future Generation Computer Systems 95.JUN.(2019 阅读全文
posted @ 2020-11-12 20:11 方班隐私保护小组 阅读(24) 评论(0) 推荐(0) 编辑
【三期操志强】CCF-B(C&S'20)Privacy-preserving self-serviced medical diagnosis scheme based on secure multi-party computation.
摘要：Dong Li, et al."Privacy-preserving self-serviced medical diagnosis scheme based on secure multi-party computation."Computers & Security 90.(2020).—CCF 阅读全文
posted @ 2020-10-26 21:57 方班隐私保护小组 阅读(26) 评论(0) 推荐(0) 编辑
【三期操志强】CCF-A(CCS'19)Poster: A Reliable and Accountable Privacy-Preserving Federated Learning Framework using the Blockchain.
摘要：Awan, Sana , et al. "Poster: A Reliable and Accountable Privacy-Preserving Federated Learning Framework using the Blockchain." the 2019 ACM SIGSAC Con 阅读全文
posted @ 2020-10-23 20:07 方班隐私保护小组 阅读(75) 评论(0) 推荐(0) 编辑

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