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ARTEMIS: Defending Against Backdoor Attacks via Distribution Shift
IEEE Transactions on Dependable and Secure Computing (TDSC), 2025
In this work, we propose a novel backdoor defense approach called ARTEMIS, which utilizes distribution shifts to eliminate the discrepancy between poisoned and benign samples in the feature space.
Recommended citation: Meng Xue, Zhixian Wang, Qian Zhang, Xueluan Gong, Zhihang Liu, Yanjiao Chen. (2025). "ARTEMIS: Defending Against Backdoor Attacks via Distribution Shift." IEEE Transactions on Dependable and Secure Computing. 22(2). https://ieeexplore.ieee.org/abstract/document/10702439
MobHAR: Source-free Knowledge Transfer for Human Activity Recognition on Mobile Devices
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2025
This paper presents a novel source-free domain adaptation framework for HAR that effectively handles substantial domain discrepancies across different datasets.
Recommended citation: Meng Xue, Yinan Zhu, Wentao Xie, Zhixian Wang, Yanjiao Chen, Kui Jiang, Qian Zhang. (2025). "MobHAR: Source-free Knowledge Transfer for Human Activity Recognition on Mobile Devices." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 9(1). https://dl.acm.org/doi/10.1145/3712620
JULI: Jailbreak Large Language Models by Self-Introspection
International Conference on Learning Representations (ICLR), 2026
We propose Jailbreaking Using LLM Introspection (JULI), which jailbreaks LLMs by manipulating the token log probabilities, using a tiny plug-in block, BiasNet.
Recommended citation: Jesson Wang, Zhanhao Hu, David Wagner. (2026). "JULI: Jailbreak Large Language Models by Self-Introspection." International Conference on Learning Representations (ICLR). https://arxiv.org/pdf/2505.11790
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Teaching Assistant
Data Structure, Wuhan University, School of Computer Science, 2024
Teaching assistant for the undergraduate Data Structure course (Fall 2024 – Jan. 2025). Responsibilities included leading discussion sections, holding office hours, preparing and grading assignments, and helping students debug their implementations.