Yaxin Xiao

According to our database, Yaxin Xiao authored at least 16 papers between 2022 and 2026.

Collaborative distances:

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

2026

Machine Unlearning in Low-Dimensional Feature Subspace.

Kun Fang, Qinghua Tao, Junxu Liu, Yaxin Xiao, Qingqing Ye, Jian Sun, Haibo Hu

CoRR, January, 2026

FIT: Defying Catastrophic Forgetting in Continual LLM Unlearning.

Xiaoyu Xu, Minxin Du, Kun Fang, Zi Liang, Yaxin Xiao, Zhicong Huang, Cheng Hong, Qingqing Ye, Haibo Hu

CoRR, January, 2026

Time-varying thresholds with Gaussian smoothing for one-bit DOA estimation in unequal power signals.

Anqi Yan, Yan Zhou, Yaxin Xiao, Siyu Yang, Chuangrui Meng

Signal Process., 2026

Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks.

Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, Ronghua Li, Huadi Zheng, Haibo Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Unlocking High-Fidelity Learning: Towards Neuron-Grained Model Extraction.

Yaxin Xiao, Haibo Hu, Qingqing Ye, Li Tang, Zi Liang, Huadi Zheng

IEEE Trans. Dependable Secur. Comput., 2025

Enhancing RODNet detection in complex road environments based on ESM and ISM methods.

Yu Guo, Yaxin Xiao, Yan Zhou, Yanyan Li, Siyu Yang, Chuangrui Meng

Digit. Signal Process., 2025

Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?

Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Dual Utilization of Perturbation for Stream Data Publication Under Local Differential Privacy.

Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, Haibo Hu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy.

Yaxin Xiao, Qingqing Ye, Li Hu, Huadi Zheng, Haibo Hu, Zi Liang, Haoyang Li, Yijie Jiao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

"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, Haibo Hu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Exploring Intrinsic Alignments Within Text Corpus.

Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui

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

A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks.

Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu

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

2024

DeepMark: A Scalable and Robust Framework for DeepFake Video Detection.

Li Tang, Qingqing Ye, Haibo Hu, Qiao Xue, Yaxin Xiao, Jin Li

ACM Trans. Priv. Secur., 2024

Alignment-Aware Model Extraction Attacks on Large Language Models.

Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu

CoRR, 2024

Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models.

Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Haoyang Li

CoRR, 2024

2022

MExMI: Pool-based Active Model Extraction Crossover Membership Inference.

Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022