294 citations · 589 across the 24 of their papers we have counts for
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cs.LG2025
FairGFL: Privacy-Preserving Fairness-Aware Federated Learning with Overlapping Subgraphs
Zihao Zhou, Shusen Yang, Fangyuan Zhao +1
Graph federated learning enables the collaborative extraction of high-order information from distributed subgraphs while preserving the privacy of raw data. However, graph data oft…
cs.LG2025
Rethinking Layer-wise Gaussian Noise Injection: Bridging Implicit Objectives and Privacy Budget Allocation
Qifeng Tan, Shusen Yang, Xuebin Ren +1
Layer-wise Gaussian mechanisms (LGM) enhance flexibility in differentially private deep learning by injecting noise into partitioned gradient vectors. However, existing methods oft…
cs.CR2025★ 1 cited
Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams
Xinyu Li, Xuebin Ren, Shusen Yang +2
Local Differential Privacy (LDP) enables massive data collection and analysis while protecting end users' privacy against untrusted aggregators. It has been applied to various data…