Improving model generalization by on-manifold adversarial augmentation in the frequency domain☆通过频域上的流形对抗增强提高模型泛化能力☆JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATIONIF3.12025-06-010PRE
RobustPrompt: Learning to defend against adversarial attacks with adaptive visual promptsPATTERN RECOGNITION LETTERSIF3.32025-04-010PRE
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking图像分类模型鲁棒性综合研究: 基准测试与再思考INTERNATIONAL JOURNAL OF COMPUTER VISIONIF9.32024-08-092PRE
Training Robust Deep Collaborative Filtering Models via Adversarial Noise PropagationACM TRANSACTIONS ON INFORMATION SYSTEMSIF9.12023-08-186PRE
个人简介
教育背景
工作经历
荣誉奖项
未登录.png){kind=icon}
未登录个人简介教育背景工作经历荣誉奖项