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Turning a Curse Into a Blessing: Enabling Clean-Data-Free Defenses by Model Inversion



Si Chen , Yi Zeng , Won Park , Ruoxi Jia


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Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization



Yinqian Sun , Yi Zeng , Yang Li


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EventMix: An Efficient Augmentation Strategy for Event-Based Data



Guobin Shen , Dongcheng Zhao , Yi Zeng


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DPSNN: A Differentially Private Spiking Neural Network



Jihang Wang , Dongcheng Zhao , Guobin Shen , Qian Zhang , Yi Zeng

* 12 pages, 6 figures 

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Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes



Yang Li , Yi Zeng

* This paper was accepted by IJCAI2022 

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Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information



Yi Zeng , Minzhou Pan , Hoang Anh Just , Lingjuan Lyu , Meikang Qiu , Ruoxi Jia

* 13 pages of the main text 

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FORCE: A Framework of Rule-Based Conversational Recommender System



Jun Quan , Ze Wei , Qiang Gan , Jingqi Yao , Jingyi Lu , Yuchen Dong , Yiming Liu , Yi Zeng , Chao Zhang , Yongzhi Li , Huang Hu , Yingying He , Yang Yang , Daxin Jiang

* AAAI 2022 (Demonstration Track) 

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N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning



Yang Li , Yiting Dong , Dongcheng Zhao , Yi Zeng


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N-Omniglot: a Large-scale Dataset for Spatio-Temporal Sparse Few-shot Learning



Yang Li , Yiting Dong , Dongcheng Zhao , Yi Zeng


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