Zhihong Tian

Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection

2022 · arXiv (Cornell University)

In recent years, deep learning (DL)-based methods have been widely used in code vulnerability detection. The DL-based methods typically extract structural information from source code, e.g., code structure graph, and adopt neural networks such as …

Labels Are Culprits: Defending Gradient Attack on Privacy

2023 · IEEE Internet of Things Journal

Federated learning (FL) is widely studied for local privacy protection, and it involves exchanging model parameters rather than raw data among clients. However, gradient attacks (GAs) make a malicious client or parameter server of FL …

Robust Federated Learning With Multi-Category Accuracy for Non-IID Data

2025 · IEEE Transactions on Consumer Electronics

Federated learning is increasingly utilized in devices such as smartphones, smart home systems, and wearables for applications like personalized recommendations, voice assistants, and health monitoring. However, FL’s decentralized nature makes it susceptible to malicious attacks, …