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A fast test compaction method using dedicated Pure MaxSAT solver embedded in DFT flow 期刊论文
INTEGRATION-THE VLSI JOURNAL, 2025, 卷号: 100, 页码: 11
作者:  Chao, Zhiteng;  Zhang, Xindi;  Huang, Junying;  Liu, Zizhen;  Zhao, Yixuan;  Ye, Jing;  Cai, Shaowei;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载:3/0  |  提交时间:2024/12/06
Static test compaction  Pure MaxSAT  DFT  ATPG  
SPFL: A Self-Purified Federated Learning Method Against Poisoning Attacks 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 6604-6619
作者:  Liu, Zizhen;  He, Weiyang;  Chang, Chip-Hong;  Ye, Jing;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载:2/0  |  提交时间:2024/12/06
Data models  Servers  Training  Hidden Markov models  Training data  Adaptation models  Security  Federated learning  poisoning attack  knowledge distillation  attention maps  deep neural network  
DHSA: efficient doubly homomorphic secure aggregation for cross-silo federated learning 期刊论文
JOURNAL OF SUPERCOMPUTING, 2022, 页码: 31
作者:  Liu, Zizhen;  Chen, Si;  Ye, Jing;  Fan, Junfeng;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载:26/0  |  提交时间:2022/12/07
Federated learning  Security  Efficient  Homomorphic