Author

Jin-Bo Xiong

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Conference Aug 2026

4D-KDE: A Lightweight Defense Framework Against Data Poisoning Attacks in Crowdsensing with Local Differential Privacy

Local differential privacy (LDP) can mask poisoning behavior in crowdsensing by making poisoned sensory data difficult to distinguish from benign sensory data, which in turn makes malicious workers difficult to identify and undermines reliable truth discovery. Conventional value based defenses lose discriminative power...

Hai-Shui Zhong, Yuan-Yuan Zhang, Jia-Yi Huang et al. · 2026 International Conferenc... · 0 citations

Conference Aug 2026

A Hypergraph-Based Defense Framework Against Relational Inference in Mobile Crowdsensing

Repeated co-occurrences in worker trajectory data can expose latent relationships in mobile crowdsensing. Existing methods mainly focus on protecting individual or dyadic relationships, which inadequately capture higher-order relationships between trajectories. To address this problem, we propose a hypergraph-based def...

Yi-Jiao Huang, Yuanyuan Zhang, Jiayi Huang et al. · 2026 International Conferenc... · 0 citations

Conference Jul 2026

Towards Robust Federated Learning: A Centroid-Based Approach to Jointly Mitigate Noisy Labels and Non-IID Data

In federated learning (FL), client data often suffer from the challenges of data distribution imbalance such as Non-IID and noisy labels. Crucially, these two issues are highly coupled and mutually exacerbating: Non-IID data complicates the identification of noisy labels, while noisy labels severely amplify local model...

Xu-Ting He, Jiayi Huang, Jinbo Xiong et al. · Fall Joint Computer Conferen... · 0 citations