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ORCIDXi He 0001
Person information
- affiliation: University of Waterloo, Waterloo, ON, Canada
- affiliation: Duke University, Durham, NC, USA
Other persons with the same name
- Xi He — disambiguation page
- Xi He 0002 — Rochester Institute of Technology, Service Oriented Cyberinfrastructure Laboratory, NY, USA
- Xi He 0003 — Georgia State University, Department of Computer Science, Atlanta, GA, USA
- Xi He 0004 — Lehigh University, Department of Industrial and Systems Engineering, Bethlehem, PA, USA
- Xi He 0005
![[0000-0002-6046-7855]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6046-7855")
— Hunan Institute of Technology, Hengyang, China (and 1 more) - Xi He 0006 — University of Electronic Science and Technology of China, Institute of Fundamental and Frontier Sciences, Chengdu, China
- Xi He 0007 — Zhuzhou CRRC Times Electric Co., Ltd., Zhuzhou, China
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2020 – today
- 2024
[j16]Xi He:
Technical Perspective: Synthetic Data Needs a Reproducibility Benchmark. SIGMOD Rec. 53(1): 64 (2024)- 2023
- [i16]Shufan Zhang, Xi He:
DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance. CoRR abs/2309.10240 (2023) - [i15]Shubhankar Mohapatra, Jianqiao Zong, Florian Kerschbaum, Xi He:
Differentially Private Data Generation with Missing Data. CoRR abs/2310.11548 (2023) - 2022
- [j15]Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers:
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases. Proc. Priv. Enhancing Technol. 2022(2): 601-618 (2022) - [j14]Primal Pappachan, Shufan Zhang, Xi He, Sharad Mehrotra:
Don't Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data. Proc. VLDB Endow. 15(11): 2437-2449 (2022) - [j13]Sameera Ghayyur, Dhrubajyoti Ghosh, Xi He, Sharad Mehrotra:
MIDE: Accuracy Aware Minimally Invasive Data Exploration For Decision Support. Proc. VLDB Endow. 15(11): 2653-2665 (2022) - [j12]Miti Mazmudar, Thomas Humphries, Jiaxiang Liu, Matthew Rafuse, Xi He:
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration. Proc. VLDB Endow. 16(4): 574-586 (2022) - [c12]Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar:
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. AAAI 2022: 7806-7813 - [i14]Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers:
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases. CoRR abs/2201.05964 (2022) - [i13]Primal Pappachan, Shufan Zhang, Xi He, Sharad Mehrotra:
Don't Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data. CoRR abs/2207.08757 (2022) - [i12]Miti Mazmudar, Thomas Humphries, Jiaxiang Liu, Matthew Rafuse, Xi He:
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration. CoRR abs/2211.15732 (2022) - 2021
- [j11]Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal:
DP-cryptography: marrying differential privacy and cryptography in emerging applications. Commun. ACM 64(2): 84-93 (2021) - [j10]Joseph P. Near, Xi He:
Differential Privacy for Databases. Found. Trends Databases 11(2): 109-225 (2021) - [j9]Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F. Ilyas:
Kamino: Constraint-Aware Differentially Private Data Synthesis. Proc. VLDB Endow. 14(10): 1886-1899 (2021) - [j8]Jiaxiang Liu, Karl Knopf, Yiqing Tan, Bolin Ding, Xi He:
Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration. Proc. VLDB Endow. 14(12): 2859-2862 (2021) - [c11]Helen H. Chen, Shubhankar Mohapatra, George Michalopoulos, Xi He, Ian McKillop:
Federated Deep Learning Architecture for Personalized Healthcare. MIE 2021: 193-197 - [c10]Siyuan Xia, Beizhen Chang, Karl Knopf, Yihan He, Yuchao Tao, Xi He:
DPGraph: A Benchmark Platform for Differentially Private Graph Analysis. SIGMOD Conference 2021: 2808-2812 - [c9]Xi He, Jennie Rogers, Johes Bater, Ashwin Machanavajjhala, Chenghong Wang, Xiao Wang:
Practical Security and Privacy for Database Systems. SIGMOD Conference 2021: 2839-2845 - [i11]Christian Covington, Xi He, James Honaker, Gautam Kamath:
Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy. CoRR abs/2110.14465 (2021) - [i10]Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar:
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. CoRR abs/2111.04906 (2021) - 2020
- [j7]Johes Bater, Yongjoo Park, Xi He, Xiao Wang, Jennie Rogers:
SAQE: Practical Privacy-Preserving Approximate Query Processing for Data Federations. Proc. VLDB Endow. 13(11): 2691-2705 (2020) - [c8]Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou:
Linear and Range Counting under Metric-based Local Differential Privacy. ISIT 2020: 908-913 - [c7]Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy:
Computing Local Sensitivities of Counting Queries with Joins. SIGMOD Conference 2020: 479-494 - [c6]Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha:
Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers. SIGMOD Conference 2020: 603-619 - [i9]Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy:
Computing Local Sensitivities of Counting Queries with Joins. CoRR abs/2004.04656 (2020) - [i8]Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal:
DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications. CoRR abs/2004.08887 (2020) - [i7]Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F. Ilyas:
Kamino: Constraint-Aware Differentially Private Data Synthesis. CoRR abs/2012.15713 (2020)
2010 – 2019
- 2019
- [j6]Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal:
Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing. Proc. Priv. Enhancing Technol. 2019(3): 233-254 (2019) - [j5]Ios Kotsogiannis, Yuchao Tao, Xi He, Maryam Fanaeepour, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau:
PrivateSQL: A Differentially Private SQL Query Engine. Proc. VLDB Endow. 12(11): 1371-1384 (2019) - [c5]Chang Ge, Xi He, Ihab F. Ilyas, Ashwin Machanavajjhala:
APEx: Accuracy-Aware Differentially Private Data Exploration. SIGMOD Conference 2019: 177-194 - [c4]Jennie Rogers, Johes Bater, Xi He, Ashwin Machanavajjhala, Madhav Suresh, Xiao Wang:
Privacy Changes Everything. Poly/DMAH@VLDB 2019: 96-111 - [i6]Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha:
Outis: Crypto-Assisted Differential Privacy on Untrusted Servers. CoRR abs/1902.07756 (2019) - [i5]Zhuolun Xiang, Bolin Ding, Xi He, Jingren Zhou:
Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs. CoRR abs/1909.11778 (2019) - 2018
- [b1]Xi He:
Policy Driven Data Sharing with Provable Privacy Guarantees. Duke University, Durham, NC, USA, 2018 - [j4]Johes Bater, Xi He, William Ehrich, Ashwin Machanavajjhala, Jennie Rogers:
ShrinkWrap: Efficient SQL Query Processing in Differentially Private Data Federations. Proc. VLDB Endow. 12(3): 307-320 (2018) - [r1]Ashwin Machanavajjhala, Xi He:
Analyzing Your Location Data with Provable Privacy Guarantees. Handbook of Mobile Data Privacy 2018: 97-127 - [i4]Johes Bater, Xi He, William Ehrich, Ashwin Machanavajjhala, Jennie Rogers:
Shrinkwrap: Differentially-Private Query Processing in Private Data Federations. CoRR abs/1810.01816 (2018) - 2017
- [c3]Xi He, Ashwin Machanavajjhala, Cheryl J. Flynn, Divesh Srivastava:
Composing Differential Privacy and Secure Computation: A Case Study on Scaling Private Record Linkage. CCS 2017: 1389-1406 - [c2]Ashwin Machanavajjhala, Xi He, Michael Hay:
Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges. SIGMOD Conference 2017: 1727-1730 - [i3]Xi He, Ashwin Machanavajjhala, Cheryl J. Flynn, Divesh Srivastava:
Scaling Private Record Linkage using Output Constrained Differential Privacy. CoRR abs/1702.00535 (2017) - [i2]Chang Ge, Ihab F. Ilyas, Xi He, Ashwin Machanavajjhala:
Private Exploration Primitives for Data Cleaning. CoRR abs/1712.10266 (2017) - 2016
- [j3]Xi He, Nisarg Raval, Ashwin Machanavajjhala:
A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories. Proc. VLDB Endow. 9(13): 1489-1492 (2016) - [j2]Ashwin Machanavajjhala, Xi He, Michael Hay:
Differential Privacy in the Wild: A tutorial on current practices & open challenges. Proc. VLDB Endow. 9(13): 1611-1614 (2016) - 2015
- [j1]Xi He, Graham Cormode, Ashwin Machanavajjhala, Cecilia M. Procopiuc, Divesh Srivastava:
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems. Proc. VLDB Endow. 8(11): 1154-1165 (2015) - 2014
- [c1]Xi He, Ashwin Machanavajjhala, Bolin Ding:
Blowfish privacy: tuning privacy-utility trade-offs using policies. SIGMOD Conference 2014: 1447-1458 - 2013
- [i1]Xi He, Ashwin Machanavajjhala, Bolin Ding:
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies. CoRR abs/1312.3913 (2013)
Coauthor Index
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