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2020 – today
- 2024
[c14]Zhicong Huang
, Wen-jie Lu, Yuchen Wang, Cheng Hong, Tao Wei, Wenguang Chen:
Coral: Maliciously Secure Computation Framework for Packed and Mixed Circuits. CCS 2024: 810-824- [i12]Zhengyi Li, Kang Yang, Jin Tan, Wen-jie Lu, Haoqi Wu, Xiao Wang, Yu Yu, Derun Zhao, Yancheng Zheng, Minyi Guo, Jingwen Leng:
Nimbus: Secure and Efficient Two-Party Inference for Transformers. CoRR abs/2411.15707 (2024) - [i11]Zhicong Huang, Wen-jie Lu, Yuchen Wang, Cheng Hong, Tao Wei, Wenguang Chen:
Coral: Maliciously Secure Computation Framework for Packed and Mixed Circuits. IACR Cryptol. ePrint Arch. 2024: 1372 (2024) - 2023
- [j1]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) - [c13]Xuanle Ren, Zhaohui Chen, Zhen Gu, Yanheng Lu, Ruiguang Zhong, Wen-Jie Lu, Jiansong Zhang, Yichi Zhang, Hanghang Wu, Xiaofu Zheng, Heng Liu, Tingqiang Chu, Cheng Hong, Changzheng Wei, Dimin Niu, Yuan Xie:
CHAM: A Customized Homomorphic Encryption Accelerator for Fast Matrix-Vector Product. DAC 2023: 1-6 - [c12]Wenxuan Zeng, Meng Li, Wenjie Xiong, Tong Tong, Wen-Jie Lu, Jin Tan, Runsheng Wang, Ru Huang:
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention. ICCV 2023: 5029-5040 - [c11]Wenxuan Zeng, Meng Li, Haichuan Yang, Wen-jie Lu, Runsheng Wang, Ru Huang:
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. NeurIPS 2023 - [c10]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 - [i10]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) - [i9]Zhen Gu, Wen-jie Lu, Cheng Hong:
FFT-less TFHE: Simpler, Faster and Scale-invariant. IACR Cryptol. ePrint Arch. 2023: 357 (2023) - [i8]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) - [i7]Xiaoyang Hou, Jian Liu, Jingyu Li, Yuhan Li, Wen-jie Lu, Cheng Hong, Kui Ren:
CipherGPT: Secure Two-Party GPT Inference. IACR Cryptol. ePrint Arch. 2023: 1147 (2023) - [i6]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
- [c9]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 - [i5]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
- [c8]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
- [c7]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 - [c6]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 - [c5]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 - [c4]Qian Lou, Wen-jie Lu, Cheng Hong, Lei Jiang:
Falcon: Fast Spectral Inference on Encrypted Data. NeurIPS 2020 - [i4]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) - [i3]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) - [i2]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)
2010 – 2019
- 2019
- [c3]Cheng Hong, Jonathan Katz, Vladimir Kolesnikov, Wen-jie Lu, Xiao Wang:
Covert Security with Public Verifiability: Faster, Leaner, and Simpler. EUROCRYPT (3) 2019: 97-121 - 2018
- [i1]Cheng Hong, Jonathan Katz, Vladimir Kolesnikov, Wen-jie Lu, Xiao Wang:
Covert Security with Public Verifiability: Faster, Leaner, and Simpler. IACR Cryptol. ePrint Arch. 2018: 1108 (2018) - 2011
- [c2]Shu-Xin Luo, Yan-Rong Niu, Ji-Qing Qiu, Ying Yang, Wen-Jie Lu, Rui-Qing Liu:
Fault-tolerant guaranteed cost control based on T-S fuzzy systems with the sensor fault and time-delay. ICMLC 2011: 1232-1236 - [c1]Chang-Jie Zhou, Wen-Jie Lu, Lian-Qing Su, Ying Yang, Yan-Rong Niu, Rui-Qing Liu:
Robust L2-L∞ guaranteed cost filter for a class of uncertain systems with distributed delays. ICMLC 2011: 1302-1307
Coauthor Index
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last updated on 2025-01-09 12:48 CET by the dblp team
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