@inproceedings{xiao2026classfeature,title={Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks},author={Xiao, Yaxin and Ye, Qingqing and Liang, Zi and Li, Haoyang and Li, RongHua and Zheng, Huadi and Hu, Haibo},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},year={2026},}
2025
ICCV / CCF-A
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy
Yaxin Xiao, Qingqing Ye, Li Hu, Huadi Zheng, Haibo Hu*, Zi Liang, Haoyang Li, and Yijie Jiao
In IEEE/CVF International Conference on Computer Vision, 2025
@inproceedings{xiao2025privacyattacks,title={Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy},author={Xiao, Yaxin and Ye, Qingqing and Hu, Li and Zheng, Huadi and Hu, Haibo and Liang, Zi and Li, Haoyang and Jiao, Yijie},booktitle={IEEE/CVF International Conference on Computer Vision},year={2025},}
TDSC / CCF-A
Unlocking High-Fidelity Learning: Towards Neuron-Grained Model Extraction
Yaxin Xiao, Haibo Hu*, Qingqing Ye, Li Tang, Zi Liang, and Huadi Zheng
IEEE Transactions on Dependable and Secure Computing, 2025
@article{xiao2025unlocking,title={Unlocking High-Fidelity Learning: Towards Neuron-Grained Model Extraction},author={Xiao, Yaxin and Hu, Haibo and Ye, Qingqing and Tang, Li and Liang, Zi and Zheng, Huadi},journal={IEEE Transactions on Dependable and Secure Computing},year={2025},}
ACL / CCF-A
Yes, My LoRD: Guiding Language Model Extraction with Locality Reinforced Distillation
Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, RongHua Li, Jianliang Xu, and Haibo Hu*
In Annual Meeting of the Association for Computational Linguistics, 2025
@inproceedings{liang2025yesmylord,title={Yes, My LoRD: Guiding Language Model Extraction with Locality Reinforced Distillation},author={Liang, Zi and Ye, Qingqing and Wang, Yanyun and Zhang, Sen and Xiao, Yaxin and Li, RongHua and Xu, Jianliang and Hu, Haibo},booktitle={Annual Meeting of the Association for Computational Linguistics},year={2025}}
ICDE / CCF-A
Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy
Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, and Haibo Hu*
In IEEE International Conference on Data Engineering, 2025
@inproceedings{du2025dualutilization,title={Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy},author={Du, Rong and Ye, Qingqing and Xiao, Yaxin and Yu, Liantong and Fu, Yue and Hu, Haibo},booktitle={IEEE International Conference on Data Engineering},year={2025}}
ICML / CCF-A
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
Zi Liang, Haibo Hu*, Qingqing Ye, Yaxin Xiao, and Ronghua Li
In International Conference on Machine Learning, 2025
@inproceedings{liang2025lora,title={Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?},author={Liang, Zi and Hu, Haibo and Ye, Qingqing and Xiao, Yaxin and Li, Ronghua},booktitle={International Conference on Machine Learning},year={2025}}
AAAI / CCF-A
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu*, Yaxin Xiao, Huadi Zheng, and Jianliang Xu
In Proceedings of the AAAI Conference on Artificial Intelligence, 2025
@inproceedings{li2025samplelevel,title={A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks},author={Li, Haoyang and Bai, Li and Ye, Qingqing and Hu, Haibo and Xiao, Yaxin and Zheng, Huadi and Xu, Jianliang},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},year={2025}}
AAAI / CCF-A
Exploring Intrinsic Alignments Within Text Corpus
Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu*, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, and Lizhen Cui
In Proceedings of the AAAI Conference on Artificial Intelligence, 2025
@inproceedings{liang2025intrinsicalignments,title={Exploring Intrinsic Alignments Within Text Corpus},author={Liang, Zi and Wang, Pinghui and Zhang, Ruofei and Hu, Haibo and Zhang, Shuo and Ye, Qingqing and Xu, Nuo and Xiao, Yaxin and Zhang, Chen and Cui, Lizhen},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},year={2025}}
2024
TOPS / CCF-B
DeepMark: A Scalable and Robust Framework for DeepFake Video Detection
Li Tang, Qingqing Ye, Haibo Hu*, Qiao Xue, Yaxin Xiao, and Jin Li
@article{tang2024deepmark,title={DeepMark: A Scalable and Robust Framework for DeepFake Video Detection},author={Tang, Li and Ye, Qingqing and Hu, Haibo and Xue, Qiao and Xiao, Yaxin and Li, Jin},journal={ACM Transactions on Privacy and Security},doi={10.1145/3629976},year={2024}}
2022
NeurIPS / CCF-A
MExMI: Pool-based Active Model Extraction Crossover Membership Inference
Yaxin Xiao, Qingqing Ye, Haibo Hu*, Huadi Zheng, Chengfang Fang, and Jie Shi
In Advances in Neural Information Processing Systems, 2022
@inproceedings{xiao2022mexmi,title={MExMI: Pool-based Active Model Extraction Crossover Membership Inference},author={Xiao, Yaxin and Ye, Qingqing and Hu, Haibo and Zheng, Huadi and Fang, Chengfang and Shi, Jie},booktitle={Advances in Neural Information Processing Systems},year={2022},}