Author

Chongkai Li

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Conference Jul 2026

Protocol-Aware Traffic Representation with Conditional Diffusion Transformer for Imbalanced Network Intrusion Detection

Network intrusion detection systems face severe class imbalance in real-world traffic, where rare attack types such as Shellcode, Worms, and Infiltration are vastly outnumbered by benign flows, causing deep learning models to perform poorly on minority classes. Existing data augmentation methods including SMOTE, VAE, a...

Chongkai Li · 2026 8th International Confe... · 0 citations

Preprint Jul 2026

FedCVESA: Taking Away Training Data in Federated Learning via Correlation Value Encoding and Segmented Aggregation

The proposed FedCVESA, a federated variant of Correlation Value Encoding Attack, is proposed by adding a Pearson-correlation regularizer to the loss function of target clients, so that private training data are gradually encoded into selected model parameters, referred to as carrier parameters.

Chongkai Li, Bang Zhang, Wenjian Luo · 0 citations