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HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation


May 04, 2021
Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang


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Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design


Dec 17, 2020
Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin

* 12 pages. arXiv admin note: text overlap with arXiv:2003.05198 

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ASFGNN: Automated Separated-Federated Graph Neural Network


Nov 06, 2020
Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang

* 15 pages 

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S3ML: A Secure Serving System for Machine Learning Inference


Oct 13, 2020
Junming Ma, Chaofan Yu, Aihui Zhou, Bingzhe Wu, Xibin Wu, Xingyu Chen, Xiangqun Chen, Lei Wang, Donggang Cao


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ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference


Sep 19, 2020
Zhihang Yuan, Xin Liu, Bingzhe Wu, Guangyu Sun

* 6 figures 

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A Comprehensive Analysis of Information Leakage in Deep Transfer Learning


Sep 04, 2020
Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou

* 10 pages 

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Privacy-Preserving Graph Neural Network for Node Classification


May 25, 2020
Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang


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Industrial Scale Privacy Preserving Deep Neural Network


Mar 12, 2020
Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang


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Secure Social Recommendation based on Secret Sharing


Mar 05, 2020
Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou

* Accepted by ECAI'20 

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Practical Privacy Preserving POI Recommendation


Mar 05, 2020
Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng


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S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search


Dec 17, 2019
Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun


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S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search


Nov 16, 2019
Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun


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Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics


Oct 05, 2019
Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou

* Under review of AAAI 2020 

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Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection


Sep 25, 2019
Bingzhe Wu, Shiwan Zhao, ChaoChao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou

* Accepted by NeurIPS 2019 

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BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference


Jun 03, 2019
Peichen Xie, Bingzhe Wu, Guangyu Sun

* accepted by IJCAI 2019 

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P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification


May 30, 2019
Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu

* Accepted by CVPR 2019 

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G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification


Jun 30, 2018
Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun


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SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution


Dec 20, 2017
Bingzhe Wu, Haodong Duan, Zhichao Liu, Guangyu Sun


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