2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Local Layer-wise Differential Privacy in Federated Learning
Yunbo Li, Jiaping Gui, Fanchao Meng +1
Federated Learning (FL) enables collaborative model training without direct data sharing, yet it remains vulnerable to privacy attacks such as model inversion and membership infere…
RHINO: Guided Reasoning for Mapping Network Logs to Adversarial Tactics and Techniques with Large Language Models
Fanchao Meng, Jiaping Gui, Yunbo Li +1
Modern Network Intrusion Detection Systems generate vast volumes of low-level alerts, yet these outputs remain semantically fragmented, requiring labor-intensive manual correlation…
Towards Explainable Privacy Preservation in Federated Learning via Shapley Value-Guided Noise Injection
Yunbo Li, Jiaping Gui, Yue Wu
This paper proposes FedSVA, an explainable differential privacy (DP) mechanism for federated learning (FL) that dynamically calibrates noise injection based on the privacy contribu…
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation
Haiyang Yu, Tian Xie, Jiaping Gui +3
Over the past few years, the emergence of backdoor attacks has presented significant challenges to deep learning systems, allowing attackers to insert backdoors into neural network…