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Xi He
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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
2112014
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
1952015
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
852017
Cryptϵ: 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
682020
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
672019
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), 2018
552018
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
492017
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
42*2019
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
302019
DP-cryptography: marrying differential privacy and cryptography in emerging applications
S Wagh, X He, A Machanavajjhala, P Mittal
Communications of the ACM 64 (2), 84-93, 2021
282021
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
272020
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
172018
Computing local sensitivities of counting queries with joins
Y Tao, X He, A Machanavajjhala, S Roy
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
152020
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
152016
Kamino: Constraint-aware differentially private data synthesis
C Ge, S Mohapatra, X He, IF Ilyas
arXiv preprint arXiv:2012.15713, 2020
132020
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
132020
Unbiased statistical estimation and valid confidence intervals under differential privacy
C Covington, X He, J Honaker, G Kamath
arXiv preprint arXiv:2110.14465, 2021
102021
Analyzing your location data with provable privacy guarantees
A Machanavajjhala, X He
Handbook of Mobile Data Privacy, 97-127, 2018
92018
The role of adaptive optimizers for honest private hyperparameter selection
S Mohapatra, S Sasy, X He, G Kamath, O Thakkar
Proceedings of the aaai conference on artificial intelligence 36 (7), 7806-7813, 2022
72022
Visualizing privacy-utility trade-offs in differentially private data releases
P Nanayakkara, J Bater, X He, J Hullman, J Rogers
Proceedings on Privacy Enhancing Technologies 2022 (2), 601-618, 2022
62022
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Articles 1–20