Shaopeng Fu

According to our database, Shaopeng Fu authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

Benign Overfitting in Adversarial Training for Vision Transformers.

Jiaming Zhang, Meng Ding, Shaopeng Fu, Jingfeng Zhang, Di Wang

CoRR, April, 2026

Understanding and Improving Continuous Adversarial Training for LLMs via In-context Learning Theory.

Shaopeng Fu, Di Wang

CoRR, April, 2026

RefineRL: Advancing Competitive Programming with Self-Refinement Reinforcement Learning.

Shaopeng Fu, Xingxing Zhang, Li Dong, Di Wang, Furu Wei

CoRR, April, 2026

Accelerating Suffix Jailbreak attacks with Prefix-Shared KV-cache.

Xinhai Wang, Shaopeng Fu, Shu Yang, Liangyu Wang, Tianhang Zheng, Di Wang

CoRR, March, 2026

Understanding the Impact of Differentially Private Training on Memorization of Long-Tailed Data.

Jiaming Zhang, Huanyi Xie, Meng Ding, Shaopeng Fu, Jinyan Liu, Di Wang

CoRR, February, 2026

Concept-Based Dictionary Learning for Inference-Time Safety in Vision Language Action Models.

Siqi Wen, Shu Yang, Shaopeng Fu, Jingfeng Zhang, Lijie Hu, Di Wang

CoRR, February, 2026

Towards Representation Backdoor on CLIP via Concept Confusion.

Junchi Liao, Weimin Lyu, Lijie Hu, Shaopeng Fu, Tianhao Huang, Shu Yang, Jie Li, Di Wang

Trans. Mach. Learn. Res., 2026

2025

Understanding Private Learning From Feature Perspective.

Meng Ding, Mingxi Lei, Shaopeng Fu, Shaowei Wang, Di Wang, Jinhui Xu

CoRR, November, 2025

C² ATTACK: Towards Representation Backdoor on CLIP via Concept Confusion.

Lijie Hu, Junchi Liao, Weimin Lyu, Shaopeng Fu, Tianhao Huang, Shu Yang, Guimin Hu, Di Wang

CoRR, March, 2025

"Short-length" Adversarial Training Helps LLMs Defend "Long-length" Jailbreak Attacks: Theoretical and Empirical Evidence.

Shaopeng Fu, Liang Ding, Di Wang

CoRR, February, 2025

2024

Low-carbon building evaluation index system based on hierarchical analysis method.

Ya Zhou, Shaopeng Fu

J. Comput. Methods Sci. Eng., 2024

Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services.

Shaopeng Fu, Xuexue Sun, Ke Qing, Tianhang Zheng, Di Wang

CoRR, 2024

Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach.

Shaopeng Fu, Di Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Robust Unlearnable Examples: Protecting Data Against Adversarial Learning.

Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao

CoRR, 2022

Knowledge Removal in Sampling-based Bayesian Inference.

Shaopeng Fu, Fengxiang He, Dacheng Tao

Proceedings of the Tenth International Conference on Learning Representations, 2022

Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning.

Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.

Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama

Neural Comput., 2021

Bayesian Inference Forgetting.

Shaopeng Fu, Fengxiang He, Yue Xu, Dacheng Tao

CoRR, 2021

2020

Robustness, Privacy, and Generalization of Adversarial Training.

Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao

CoRR, 2020