Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks von Gao, Yinghua, Li, Yiming, Zhu, Linghui, Wu, Dongxian, Jiang, Yong, Xia, Shu-Tao

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On the Effectiveness of Adversarial Training Against Backdoor Attacks von Gao, Yinghua, Wu, Dongxian, Zhang, Jingfeng, Gan, Guanhao, Xia, Shu-Tao, Niu, Gang, Sugiyama, Masashi

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Metabolism of Lumisterol2 by CYP27A1 von Wu, Dongxian, Nealon, Gareth, Liu, Yuchen, Kim, Tae-Kang, Slominski, Andrzej T., Tuckey, Robert C.

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In situ rapid synthesis of ionic liquid/ionic covalent organic framework composites for CO2 fixation von Xu, Zhifeng, Wang, Wenting, Chen, Bowei, Zhou, Haitao, Yao, Qiufang, Shen, Xianjie, Pan, Yuchen, Wu, Dongxian, Cao, Yongyong, Shen, Zhangfeng, Liu, Yanan, Xia, Qineng, Li, Xi, Zou, Xiaoqin, Wang, Yangang, Jiang, Lingchang

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rapid synthesis of ionic liquid/ionic covalent organic framework composites for CO fixation von Xu, Zhifeng, Wang, Wenting, Chen, Bowei, Zhou, Haitao, Yao, Qiufang, Shen, Xianjie, Pan, Yuchen, Wu, Dongxian, Cao, Yongyong, Shen, Zhangfeng, Liu, Yanan, Xia, Qineng, Li, Xi, Zou, Xiaoqin, Wang, Yangang, Jiang, Lingchang

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In situ rapid synthesis of ionic liquid/ionic covalent organic framework composites for CO 2 fixation von Xu, Zhifeng, Wang, Wenting, Chen, Bowei, Zhou, Haitao, Yao, Qiufang, Shen, Xianjie, Pan, Yuchen, Wu, Dongxian, Cao, Yongyong, Shen, Zhangfeng, Liu, Yanan, Xia, Qineng, Li, Xi, Zou, Xiaoqin, Wang, Yangang, Jiang, Lingchang

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Metabolism of Lumisterol 2 by CYP27A1 von Wu, Dongxian, Nealon, Gareth, Liu, Yuchen, Kim, Tae-Kang, Slominski, Andrzej T, Tuckey, Robert C

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Targeted Attack for Deep Hashing Based Retrieval von Bai, Jiawang, Chen, Bin, Li, Yiming, Wu, Dongxian, Guo, Weiwei, Xia, Shu-Tao, Yang, En-Hui

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Adversarial Neuron Pruning Purifies Backdoored Deep Models von Wu, Dongxian, Wang, Yisen

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Towards Robust Model Watermark via Reducing Parametric Vulnerability von Gan, Guanhao, Li, Yiming, Wu, Dongxian, Xia, Shu-Tao

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An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning von Yang, Cheng, Yang, Xue, Wu, Dongxian, Tang, Xiaohu

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On the Adversarial Transferability of Generalized "Skip Connections" von Wang, Yisen, Mo, Yichuan, Wu, Dongxian, Li, Mingjie, Ma, Xingjun, Lin, Zhouchen

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When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture von Mo, Yichuan, Wu, Dongxian, Wang, Yifei, Guo, Yiwen, Wang, Yisen

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Adversarial Neuron Pruning Purifies Backdoored Deep Models von Wu, Dongxian, Wang, Yisen

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Adversarial Weight Perturbation Helps Robust Generalization von Wu, Dongxian, Xia, Shu-tao, Wang, Yisen

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Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels von Lv, Xianbin, Wu, Dongxian, Xia, Shu-Tao

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Temporal Calibrated Regularization for Robust Noisy Label Learning von Wu, Dongxian, Wang, Yisen, Zheng, Zhuobin, Xia, Shu-tao

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On the Effectiveness of Adversarial Training against Backdoor Attacks von Gao, Yinghua, Wu, Dongxian, Zhang, Jingfeng, Gan, Guanhao, Xia, Shu-Tao, Niu, Gang, Sugiyama, Masashi

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Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning von Gao, Kuofeng, Bai, Jiawang, Chen, Bin, Wu, Dongxian, Xia, Shu-Tao

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Towards Robust Model Watermark via Reducing Parametric Vulnerability von Gan, Guanhao, Li, Yiming, Wu, Dongxian, Shu-Tao, Xia

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