Shaopeng Fu

According to our database, Shaopeng Fu authored at least 7 papers between 2020 and 2023.

Collaborative distances:

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

2023

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

Shaopeng Fu, Di Wang

CoRR, 2023

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