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Papers of SecretFlow Team

  • SecretFlow-SPU: A Performant and User-Friendly Framework for Privacy-Preserving Machine Learning Junming Ma, Yancheng Zheng, Jun Feng, Derun Zhao, Haoqi Wu, Wenjing Fang, Jin Tan, Chaofan Yu, Benyu Zhang, Lei Wang USENIX ATC 2023, eprint

  • Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation Weiming Liu, Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen, Mengling Hu TKDE 2023, eprint

  • Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng ECAI 2022, eprint

  • Efficient function queryable and privacy preserving data aggregation scheme in smart grid Yu Zhan, Liguo Zhou, Baocang Wang, Pu Duan, Benyu Zhang IEEE TPDS 2022, eprint

  • MDOPE: Efficient multi-dimensional data order preserving encryption scheme Yu Zhan, Danfeng Shen, Pu Duan, Benyu Zhang, Zhiyong Hong, Baocang Wang Information Sciences 2022, eprint

  • FedFAIM: A Model Performance-based FairIncentive Mechanism for Federated Learning Zhuan Shi, Lan Zhang, Zhenyu Yao, Lingjuan Lyu, Cen Chen, Li Wang, Junhao Wang, Xiang-Yang Li IEEE Transactions on Big Data 2022, eprint

  • Private, Efficient, Accurate: Protecting models trained by multi-party learning with Differential Privacy Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han S&P 2022, eprint

  • Toward practical privacy-preserving linear regression Wenju Xu, Baocang Wang, Jiasen Liu, Yange Chen, Pu Duan, Zhiyong Hong Information Sciences 2022, eprint

  • Group public key encryption supporting equality test without bilinear pairings Xiaoying Shen, Baocang Wang, Licheng Wang, Pu Duan, Benyu Zhang Information Sciences 2022, eprint

  • Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design Jun Zhou, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin ACM TIST 2022, eprint

  • Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang NeurIPS 2021, eprint

  • ASFGNN: Automated Separated-Federated Graph Neural Network Longfei Zheng, Bingzhe Wu, Jun Zhou, Li Wang, Chaochao Chen, Benyu Zhang PPNA 2021, eprint

  • When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong KDD 2021, eprint

  • Large-scale Secure XGB for Vertical Federated Learning Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang CIKM 2021, eprint

  • Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics Bingzhe Wu, ChaoChao Chen, Shiwan Zhao, Cen Chen,Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou AAAI 2020, eprint

  • Privacy Preserving PCA for Multiparty Modeling Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu, Shuang Yang AAAI-PPAI 2020, eprint

  • Industrial Scale Privacy Preserving Deep Neural Network Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang AAAI-PPAI 2020, eprint

  • Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang CIKM 2020, eprint

  • Practical Privacy Preserving POI Recommendation Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng ACM TIST 2020, eprint

  • Secure Social Recommendation based on Secret Sharing Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou ECAI 2020, eprint

  • Secret Sharing based Secure Regressions with Applications Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang ECAI-AI4P 2020, eprint

  • Secure Collaborative Training and Inference for XGBoost Andrew Law, Chester Leung, Rishabh Poddar, Raluca Ada Popa, Chenyu Shi, Octavian Sima, Chaofan Yu, Xingmeng Zhang, Wenting Zheng PPMLP 2020, eprint

  • BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference Peichen Xie, Bingzhe Wu, Guangyu Sun IJCAI 2019, eprint

  • Generalization in generative adversarial networks: A novel perspective from privacy protection Bingzhe Wu, Shiwan Zhao, ChaoChao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou NeurIPS 2019, eprint

  • Adapted Tree Boosting for Transfer Learning Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu BigData 2019, eprint

  • Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li AAAI 2018, eprint