Xi He
Cited by
Cited by
Blowfish privacy: Tuning privacy-utility trade-offs using policies
X He, A Machanavajjhala, B Ding
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
DPT: differentially private trajectory synthesis using hierarchical reference systems
X He, G Cormode, A Machanavajjhala, CM Procopiuc, D Srivastava
Proceedings of the VLDB Endowment 8 (11), 1154-1165, 2015
Composing differential privacy and secure computation: A case study on scaling private record linkage
X He, A Machanavajjhala, C Flynn, D Srivastava
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017
Differential privacy in the wild: A tutorial on current practices & open challenges
A Machanavajjhala, X He, M Hay
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers
A Roy Chowdhury, C Wang, X He, A Machanavajjhala, S Jha
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
Privatesql: a differentially private sql query engine
I Kotsogiannis, Y Tao, X He, M Fanaeepour, A Machanavajjhala, M Hay, ...
Proceedings of the VLDB Endowment 12 (11), 1371-1384, 2019
Shrinkwrap: efficient sql query processing in differentially private data federations
J Bater, X He, W Ehrich, A Machanavajjhala, J Rogers
Proceedings of the VLDB Endowment 12 (3), 307-320, 2018
Apex: Accuracy-aware differentially private data exploration
C Ge, X He, IF Ilyas, A Machanavajjhala
Proceedings of the 2019 International Conference on Management of Data, 177-194, 2019
Architecting a Differentially Private SQL Engine.
I Kotsogiannis, Y Tao, A Machanavajjhala, G Miklau, M Hay
CIDR, 2019
Shrinkwrap: Differentially-private query processing in private data federations
J Bater, X He, W Ehrich, A Machanavajjhala, J Rogers
arXiv preprint arXiv:1810.01816, 2018
Investigating statistical privacy frameworks from the perspective of hypothesis testing
C Liu, X He, T Chanyaswad, S Wang, P Mittal
Proceedings on Privacy Enhancing Technologies 2019 (3), 233-254, 2019
A demonstration of VisDPT: visual exploration of differentially private trajectories
X He, N Raval, A Machanavajjhala
Proceedings of the VLDB Endowment 9 (13), 1489-1492, 2016
Analyzing your location data with provable privacy guarantees
A Machanavajjhala, X He
Handbook of Mobile Data Privacy, 97-127, 2018
DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications
S Wagh, X He, A Machanavajjhala, P Mittal
arXiv preprint arXiv:2004.08887, 2020
Scaling private record linkage using output constrained differential privacy
X He, A Machanavajjhala, CJ Flynn, D Srivastava
CoRR abs/1702.00535, 2017
Transitioning from testbeds to ships: an experience study in deploying the TIPPERS Internet of Things platform to the US Navy
D Archer, MA August, G Bouloukakis, C Davison, MH Diallo, D Ghosh, ...
The Journal of Defense Modeling and Simulation, 1548512920956383, 2020
Linear and range counting under metric-based local differential privacy
Z Xiang, B Ding, X He, J Zhou
2020 IEEE International Symposium on Information Theory (ISIT), 908-913, 2020
Privacy Changes Everything
J Rogers, J Bater, X He, A Machanavajjhala, M Suresh, X Wang
Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 96-111, 2019
Towards Accuracy Aware Minimally Invasive Monitoring (MiM)
S Ghayyur, D Ghosh, X He, S Mehrotra
SAQE: practical privacy-preserving approximate query processing for data federations
J Bater, Y Park, X He, X Wang, J Rogers
Proceedings of the VLDB Endowment 13 (12), 2691-2705, 2020
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