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ORCIDZhicong Huang
- > Home > Persons > Zhicong Huang
Publications
- 2023
[j12]Zhicong Huang
, Cheng Hong, Chenkai Weng, Wen-jie Lu, Hunter Qu:
More Efficient Secure Matrix Multiplication for Unbalanced Recommender Systems. IEEE Trans. Dependable Secur. Comput. 20(1): 551-562 (2023)- [c19]Yun Li, Yufei Duan, Zhicong Huang, Cheng Hong, Chao Zhang, Yifan Song:
Efficient 3PC for Binary Circuits with Application to Maliciously-Secure DNN Inference. USENIX Security Symposium 2023: 5377-5394 - [c18]Wen-jie Lu, Zhicong Huang, Qizhi Zhang, Yuchen Wang, Cheng Hong:
Squirrel: A Scalable Secure Two-Party Computation Framework for Training Gradient Boosting Decision Tree. USENIX Security Symposium 2023: 6435-6451 - [i13]Ye Dong, Wen-jie Lu, Yancheng Zheng, Haoqi Wu, Derun Zhao, Jin Tan, Zhicong Huang, Cheng Hong, Tao Wei, Wenguang Chen:
PUMA: Secure Inference of LLaMA-7B in Five Minutes. CoRR abs/2307.12533 (2023) - [i12]Wen-jie Lu, Zhicong Huang, Qizhi Zhang, Yuchen Wang, Cheng Hong:
Squirrel: A Scalable Secure Two-Party Computation Framework for Training Gradient Boosting Decision Tree. IACR Cryptol. ePrint Arch. 2023: 527 (2023) - [i11]Yun Li, Yufei Duan, Zhicong Huang, Cheng Hong, Chao Zhang, Yifan Song:
Efficient 3PC for Binary Circuits with Application to Maliciously-Secure DNN Inference. IACR Cryptol. ePrint Arch. 2023: 909 (2023) - [i10]Wen-jie Lu, Zhicong Huang, Zhen Gu, Jingyu Li, Jian Liu, Kui Ren, Cheng Hong, Tao Wei, Wenguang Chen:
BumbleBee: Secure Two-party Inference Framework for Large Transformers. IACR Cryptol. ePrint Arch. 2023: 1678 (2023) - 2022
- [c15]Zhicong Huang, Wen-jie Lu, Cheng Hong, Jiansheng Ding:
Cheetah: Lean and Fast Secure Two-Party Deep Neural Network Inference. USENIX Security Symposium 2022: 809-826 - [i8]Zhicong Huang, Wen-jie Lu, Cheng Hong, Jiansheng Ding:
Cheetah: Lean and Fast Secure Two-Party Deep Neural Network Inference. IACR Cryptol. ePrint Arch. 2022: 207 (2022) - 2021
- [c13]Wen-jie Lu, Zhicong Huang, Cheng Hong, Yiping Ma, Hunter Qu:
PEGASUS: Bridging Polynomial and Non-polynomial Evaluations in Homomorphic Encryption. SP 2021: 1057-1073 - 2020
- [j8]Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha:
Improving Utility and Security of the Shuffler-based Differential Privacy. Proc. VLDB Endow. 13(13): 3545-3558 (2020) - [c12]Cheng Hong, Zhicong Huang, Wen-jie Lu, Hunter Qu, Li Ma, Morten Dahl, Jason Mancuso:
Privacy-preserving collaborative machine learning on genomic data using TensorFlow. ACM TUR-C 2020: 39-44 - [c11]Wen-jie Lu, Yixuan Fang, Zhicong Huang, Cheng Hong, Chaochao Chen, Hunter Qu, Yajin Zhou, Kui Ren:
Faster Secure Multiparty Computation of Adaptive Gradient Descent. PPMLP@CCS 2020: 47-49 - [c10]Qifei Li, Zhicong Huang, Wen-jie Lu, Cheng Hong, Hunter Qu, Hui He, Weizhe Zhang:
HomoPAI: A Secure Collaborative Machine Learning Platform based on Homomorphic Encryption. ICDE 2020: 1713-1717 - [i7]Cheng Hong, Zhicong Huang, Wen-jie Lu, Hunter Qu, Li Ma, Morten Dahl, Jason Mancuso:
Privacy-preserving collaborative machine learning on genomic data using TensorFlow. CoRR abs/2002.04344 (2020) - [i6]Cheng Hong, Zhicong Huang, Wen-jie Lu, Hunter Qu, Li Ma, Morten Dahl, Jason Mancuso:
Privacy-preserving collaborative machine learning on genomic data using TensorFlow. IACR Cryptol. ePrint Arch. 2020: 159 (2020) - [i5]Wen-jie Lu, Zhicong Huang, Cheng Hong, Yiping Ma, Hunter Qu:
PEGASUS: Bridging Polynomial and Non-polynomial Evaluations in Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2020: 1606 (2020) - 2019
- [j6]Min Xu, Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang:
DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy. Proc. VLDB Endow. 12(12): 1862-1865 (2019) - [c8]Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha:
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. SIGMOD Conference 2019: 159-176 - [i4]Zhaorui Li, Zhicong Huang, Chaochao Chen, Cheng Hong:
Quantification of the Leakage in Federated Learning. CoRR abs/1910.05467 (2019)
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last updated on 2023-12-29 19:34 CET by the dblp team
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