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ORCIDJun Wan 0008
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Jun Wan — disambiguation page
- Jun Wan 0001
![[0000-0002-4735-2885]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4735-2885")
— Chinese Academy of Sciences, Institute of Automation, Center for Biometrics and Security Research / National Laboratory of Pattern Recognition, Beijing, China (and 1 more) - Jun Wan 0002 — Indiana University School of Medicine, Indianapolis, IN, USA (and 2 more)
- Jun Wan 0003 — Zhejiang University of Water Resources and Electric Power, Hangzhou, China
- Jun Wan 0004 — Chongqing University, Chongqing, China
- Jun Wan 0005 — Zhongnan University of Economics and Law, Wuhan, China (and 2 more)
- Jun Wan 0006 — Huazhong University of Science and Technology, Wuhan, China
- Jun Wan 0007 — Shandong University, Qingdao, China
- Jun Wan 0009 — Jiangxi University of Finance and Economics, Nanchang, China
- Jun Wan 0010 — SanDisk, Milpitas, CA, USA
- Jun Wan 0011 — Ant Financial Services, Hangzhou, China (and 1 more)
- Jun Wan 0012 — Northeastern University, Qinhuangdao, China
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2020 – today
- 2024
[b1]Jun Wan:
Improving Performance of Consensus Protocols. MIT, USA, 2024- 2023
- [c4]Hanshen Xiao, Jun Wan, Srinivas Devadas:
Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning. CCS 2023: 2636-2650 - [c3]Jun Wan, Atsuki Momose, Ling Ren, Elaine Shi, Zhuolun Xiang:
On the Amortized Communication Complexity of Byzantine Broadcast. PODC 2023: 253-261 - [i5]Hanshen Xiao, Jun Wan, Srinivas Devadas:
Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning. CoRR abs/2309.02672 (2023) - [i4]Atsuki Momose, Ling Ren, Elaine Shi, Jun Wan, Zhuolun Xiang:
On the Amortized Communication Complexity of Byzantine Broadcast. IACR Cryptol. ePrint Arch. 2023: 38 (2023) - 2022
- [i3]Hanshen Xiao, Jun Wan, Srinivas Devadas:
Differentially Private Deep Learning with ModelMix. CoRR abs/2210.03843 (2022) - 2020
- [c2]Jun Wan, Hanshen Xiao, Elaine Shi, Srinivas Devadas:
Expected Constant Round Byzantine Broadcast Under Dishonest Majority. TCC (1) 2020: 381-411 - [c1]Jun Wan, Hanshen Xiao, Srinivas Devadas, Elaine Shi:
Round-Efficient Byzantine Broadcast Under Strongly Adaptive and Majority Corruptions. TCC (1) 2020: 412-456 - [i2]Jun Wan, Hanshen Xiao, Elaine Shi, Srinivas Devadas:
Expected Constant Round Byzantine Broadcast under Dishonest Majority. IACR Cryptol. ePrint Arch. 2020: 590 (2020) - [i1]Jun Wan, Hanshen Xiao, Srinivas Devadas, Elaine Shi:
Round-Efficient Byzantine Broadcast under Strongly Adaptive and Majority Corruptions. IACR Cryptol. ePrint Arch. 2020: 1236 (2020)
Coauthor Index
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