Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Liu, Zizhen"'
While Federated learning (FL) is attractive for pulling privacy-preserving distributed training data, the credibility of participating clients and non-inspectable data pose new security threats, of which poisoning attacks are particularly rampant and
Externí odkaz:
http://arxiv.org/abs/2309.10607
Covert transmission is investigated for a cooperative deception strategy, where a cooperative jammer (Jammer) tries to attract a multi-antenna adversary (Willie) and degrade the adversary's reception ability for the signal from a transmitter (Alice).
Externí odkaz:
http://arxiv.org/abs/2209.11171
Secure aggregation is widely used in horizontal Federated Learning (FL), to prevent leakage of training data when model updates from data owners are aggregated. Secure aggregation protocols based on Homomorphic Encryption (HE) have been utilized in i
Externí odkaz:
http://arxiv.org/abs/2208.07189
Autor:
Huang, Wei, Chen, Xi, Liu, Zizhen, Li, Changwu, Wei, Xin, Zhan, Jiabin, Qiu, Quan, Zheng, Jing
Publikováno v:
In World Allergy Organization Journal September 2024 17(9)
Autor:
Chao, Zhiteng, Zhang, Xindi, Huang, Junying, Liu, Zizhen, Zhao, Yixuan, Ye, Jing, Cai, Shaowei, Li, Huawei, Li, Xiaowei
Publikováno v:
In Integration January 2025 100
To prevent private training data leakage in Fed?erated Learning systems, we propose a novel se?cure aggregation scheme based on seed homomor?phic pseudo-random generator (SHPRG), named SASH. SASH leverages the homomorphic property of SHPRG to simplif
Externí odkaz:
http://arxiv.org/abs/2111.12321
Publikováno v:
In World Allergy Organization Journal August 2024 17(8)
Autor:
Gao, Ruyan, Ali, Tahir, Liu, Zizhen, Li, Axiang, He, Kaiwu, Yang, Canyu, Feng, Jinxing, Li, Shupeng
Publikováno v:
In International Immunopharmacology 10 May 2024 132
Autor:
Wang, Ziping, Liu, Zizhen, Zhang, Lu, Guo, Zixin, Shen, Genzhe, Xiao, Chenyi, Li, Qiang, Yang, Ge, Liu, Yong, Yuan, Xun
Publikováno v:
In Desalination 16 April 2024 575