2 papers
stat.ML2025
Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs
Zhongjie Shi, Puyu Wang, Chenyang Zhang +1
Modern deep learning techniques focus on extracting intricate information from data to achieve accurate predictions. However, the training datasets may be crowdsourced and include…
stat.ML2024
Can overfitted deep neural networks in adversarial training generalize? -- An approximation viewpoint
Zhongjie Shi, Fanghui Liu, Yuan Cao +1
Adversarial training is a widely used method to improve the robustness of deep neural networks (DNNs) over adversarial perturbations. However, it is empirically observed that adver…