Publications

Journal Articles

Dora: Online Scheduling of Dual-Model Inference and Retraining for Multi-View Edge Systems

Published in IEEE Transactions on Mobile Computing (Early Access), 2026

Dora coordinates inference and retraining for feature extraction and fusion models on resource-constrained edge servers. Its online scheduler adapts to data drift and balances response time against sustained prediction quality.

Recommended citation: Wenxiao Liu, Ruiting Zhou, Zhenyu Xu, Kun Tian, Yifan Zeng, and Chengyang Wang, "Dora: Online Scheduling of Dual-Model Inference and Retraining for Multi-View Edge Systems," IEEE Transactions on Mobile Computing, early access, September 1, 2026, pp. 1-13, doi: 10.1109/TMC.2026.3731470.
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SCEP-TI: A side-channel attack on encrypted proxy video streams for video title identification

Published in Computer Networks, 2025

This work presents SCEP-TI, a novel method that leverages side-channel features in encrypted proxy video streams to accurately identify video titles. The approach demonstrates that even encrypted traffic can leak sensitive information through traffic patterns, posing new privacy and security risks.

Recommended citation: Yi Zhang, Zhenyu Xu, Xurui Ren, Hua Wu, Guang Cheng, SCEP-TI: A side-channel attack on encrypted proxy video streams for video title identification, Computer Networks, Volume 271,2025,111630, ISSN 1389-1286,https://doi.org/10.1016/j.comnet.2025.111630
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Conference Papers

Peering Through the Veil: A Segment-Based Approach for VPN Encapsulated Video Title Identification

Published in TrustCom2024, 2024

We propose a segment-based method for identifying video titles from VPN-encapsulated traffic, achieving accurate recognition despite encryption and tunneling obfuscation.

Recommended citation: Z. Xu, X. Ren, Y. Zhang, G. Cheng and H. Wu, "Peering Through the Veil: A Segment-Based Approach for VPN Encapsulated Video Title Identification," 2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Sanya, China, 2024, pp. 1500-1505, doi: 10.1109/TrustCom63139.2024.00207.
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Preprints

Trojan’s Whisper: Stealthy Manipulation of OpenClaw through Injected Bootstrapped Guidance

Published in arXiv preprint, 2026

This work identifies guidance injection in OpenClaw: adversarial narratives embedded in bootstrap guidance files can steer autonomous agents toward harmful actions. Evaluation with ORE-Bench examines attack effectiveness across six LLM backends and limitations of existing skill scanners.

Recommended citation: Fazhong Liu, Zhuoyan Chen, Tu Lan, Haozhen Tan, Zhenyu Xu, Xiang Li, Guoxing Chen, Yan Meng, and Haojin Zhu. "Trojan's Whisper: Stealthy Manipulation of OpenClaw through Injected Bootstrapped Guidance." arXiv:2603.19974, 2026. doi: 10.48550/arXiv.2603.19974.
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