Publications

* indicates co-first authors.

Conferences & Journals

• Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
  [Link] [arXiv] [Video] [Code]
  Shaopeng Fu and Di Wang
  ICLR 2024

• Robust Unlearnable Examples: Protecting Data Against Adversarial Learning
  [Link] [arXiv] [Video] [Code]
  Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, and Dacheng Tao
  ICLR 2022

• Knowledge Removal in Sampling-based Bayesian Inference
  [Link] [arXiv] [Video] [Code]
  Shaopeng Fu*, Fengxiang He*, and Dacheng Tao
  ICLR 2022

• Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
  [Link] [arXiv] [Code]
  Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, and Masashi Sugiyama
  Neural Computation 33 (8), 2021

Manuscripts

• Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
  [arXiv] [Code]
  Shaopeng Fu, Xuexue Sun, Ke Qing, Tianhang Zheng, and Di Wang
  arXiv preprint 2024

• Robustness, Privacy, and Generalization of Adversarial Training
  [arXiv] [Code]
  Fengxiang He*, Shaopeng Fu*, Bohan Wang*, and Dacheng Tao
  arXiv preprint 2020