6 citations · 14 across the 6 of their papers we have counts for
4 papers · 1 filter
RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks
Haonan Yan, Wenjing Zhang, Qian Chen +4
Model poisoning attacks greatly jeopardize the application of federated learning (FL). The effectiveness of existing defenses is susceptible to the latest model poisoning attacks,…
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation
Qian Chen, Zilong Wang, Jiawei Chen +2
Federated learning (FL), an attractive and promising distributed machine learning paradigm, has sparked extensive interest in exploiting tremendous data stored on ubiquitous mobile…
Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack
Haonan Yan, Xiaoguang Li, Hui Li +3
Public intelligent services enabled by machine learning algorithms are vulnerable to model extraction attacks that can steal confidential information of the learning models through…
Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism
Xiaoguang Li, Hui Li, Haonan Yan +3
Public intelligent services enabled by machine learning algorithms are vulnerable to model extraction attacks that can steal confidential information of the learning models through…