Kunlan Xiang

According to our database, Kunlan Xiang authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Delayed Backdoor Attacks: Exploring the Temporal Dimension as a New Attack Surface in Pre-Trained Models.

Zikang Ding, Haomiao Yang, Meng Hao, Wenbo Jiang, Kunlan Xiang, Runmeng Du, Yijing Liu, Ruichen Zhang, Dusit Niyato

CoRR, March, 2026

An Advanced Gradient Leakage Attack Against Duplicate Labels via Model Outputs Reconstruction.

Kunlan Xiang, Haomiao Yang, Meng Hao, Zikang Ding, Hongwei Li, Qingchuan Zhao, Tianwei Zhang

IEEE Trans. Dependable Secur. Comput., 2026

KiST: Kernel improved spectral theory model for multivariate time series forecasting.

Haoxin Wang, Yipeng Mo, Kunlan Xiang, Bixiong Li, Songhai Fan, Yiping Jiang, Site Mo

Inf. Sci., 2026

2025

BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting.

Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Wenbo Jiang

CoRR, August, 2025

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning.

Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Zikang Ding, Tianwei Zhang

CoRR, February, 2025

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks Through Model Poisoning.

Kunlan Xiang, Haomiao Yang, Meng Hao, Shaofeng Li, Haoxin Wang, Zikang Ding, Wenbo Jiang, Tianwei Zhang

IEEE Trans. Inf. Forensics Secur., 2025

PPEC: A Privacy-Preserving, Cost-Effective Incremental Density Peak Clustering Analysis on Encrypted Outsourced Data.

Haomiao Yang, Zikang Ding, Ruiheng Lu, Kunlan Xiang, Hongwei Li, Dakui Wu

IEEE Trans. Cloud Comput., 2025

Privacy Preservation of Large Language Models in the Metaverse Era: Research Frontiers, Categorical Comparisons, and Future Directions.

Dabin Huang, Mengyu Ge, Kunlan Xiang, Xiaolei Zhang, Haomiao Yang

Int. J. Netw. Manag., 2025

CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting.

Haoxin Wang, Yipeng Mo, Kunlan Xiang, Nan Yin, Honghe Dai, Bixiong Li, Songhai Fan, Site Mo

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Comprehensive Overview of Backdoor Attacks in Large Language Models Within Communication Networks.

Haomiao Yang, Kunlan Xiang, Mengyu Ge, Hongwei Li, Rongxing Lu, Shui Yu

IEEE Netw., November, 2024

Gradient Leakage Attacks in Federated Learning: Research Frontiers, Taxonomy, and Future Directions.

Haomiao Yang, Mengyu Ge, Dongyun Xue, Kunlan Xiang, Hongwei Li, Rongxing Lu

IEEE Netw., March, 2024

2023

FedVAE: Communication-Efficient Federated Learning With Non-IID Private Data.

Haomiao Yang, Mengyu Ge, Kunlan Xiang, Xuejun Bai, Hongwei Li

IEEE Syst. J., September, 2023

Using Highly Compressed Gradients in Federated Learning for Data Reconstruction Attacks.

Haomiao Yang, Mengyu Ge, Kunlan Xiang, Jingwei Li

IEEE Trans. Inf. Forensics Secur., 2023

A Comprehensive Overview of Backdoor Attacks in Large Language Models within Communication Networks.

Haomiao Yang, Kunlan Xiang, Hongwei Li, Rongxing Lu

CoRR, 2023

2022

A Predictive Model of COVID-19 mRNA Vaccine Reactivity based on Dual Attention for Federated Learning Scenarios.

Mengyu Ge, Haomiao Yang, Xian Ming, Kunlan Xiang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022