Xilie Xu

According to our database, Xilie Xu authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models.

Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang

CoRR, 2024

2023

Decision Boundary-Aware Data Augmentation for Adversarial Training.

Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen

IEEE Trans. Dependable Secur. Comput., 2023

An LLM can Fool Itself: A Prompt-Based Adversarial Attack.

Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli

CoRR, 2023

AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework.

Xilie Xu, Jingfeng Zhang, Mohan S. Kankanhalli

CoRR, 2023

Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection.

Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization.

Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

NoiLin: Improving adversarial training and correcting stereotype of noisy labels.

Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Lizhen Cui, Gang Niu, Masashi Sugiyama

Trans. Mach. Learn. Res., 2022

Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests.

Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli

CoRR, 2022

Adversarial Attack and Defense for Non-Parametric Two-Sample Tests.

Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli

Proceedings of the International Conference on Machine Learning, 2022

2021

NoiLIn: Do Noisy Labels Always Hurt Adversarial Training?

Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Gang Niu, Lizhen Cui, Masashi Sugiyama

CoRR, 2021

Guided Interpolation for Adversarial Training.

Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama

CoRR, 2021

2020

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger.

Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli

Proceedings of the 37th International Conference on Machine Learning, 2020