Stable and Efficient Adversarial Training through Local Linearization. - Zhuorong Li; Daiwei Yu (CoRR, 2022)

Adversarial supervised contrastive learning. - Zhuorong Li; Daiwei Yu; Minghui Wu 001; Canghong Jin; Hongchuan Yu (Mach. Learn., 2023)

Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement. - Zhuorong Li; Daiwei Yu; Lina Wei; Canghong Jin; Yun Zhang; Sixian Chan (CVPR, 2024)

On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm. - Peng Sun; Bei Shi; Daiwei Yu; Tao Lin (CVPR, 2024)

Revisiting single-step adversarial training for robustness and generalization. - Zhuorong Li; Daiwei Yu; Minghui Wu; Sixian Chan 001; Hongchuan Yu; Zhike Han (Pattern Recognit., 2024)

Adversarial self-training for robustness and generalization. - Zhuorong Li; Minghui Wu 001; Canghong Jin; Daiwei Yu; Hongchuan Yu (Pattern Recognit. Lett., 2024)