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Tao Bai

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Towards Adversarially Robust Continual Learning

Mar 31, 2023
Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen

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AI Security for Geoscience and Remote Sensing: Challenges and Future Trends

Dec 19, 2022
Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi

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Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning

Jul 03, 2022
Jinze Li, Yan Bai, Yihang Lou, Xiongkun Linghu, Jianzhong He, Shaoyun Xu, Tao Bai

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Switchable Representation Learning Framework with Self-compatibility

Jun 16, 2022
Shengsen Wu, Yan Bai, Yihang Lou, Xiongkun Linghu, Jianzhong He, Tao Bai, Ling-Yu Duan

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Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method

Nov 19, 2021
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex Kot

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Adversarial Purification through Representation Disentanglement

Oct 15, 2021
Tao Bai, Jun Zhao, Lanqing Guo, Bihan Wen

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Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation

Sep 09, 2021
Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Lingyu Duan

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Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices

Jun 29, 2021
Tao Bai, Jinqi Luo, Jun Zhao

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Recent Advances in Adversarial Training for Adversarial Robustness

Feb 23, 2021
Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang

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