DPT: differentially private trajectory synthesis using hierarchical reference systems X He, G Cormode, A Machanavajjhala, C Procopiuc, D Srivastava Proceedings of the VLDB Endowment 8 (11), 1154-1165, 2015 | 252 | 2015 |

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 | 239 | 2014 |

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 | 123 | 2017 |

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 | 122 | 2019 |

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 | 104 | 2020 |

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 | 98 | 2018 |

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 | 70 | 2017 |

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 | 59 | 2020 |

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 | 57* | 2019 |

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 | 49 | 2021 |

Kamino: Constraint-aware differentially private data synthesis C Ge, S Mohapatra, X He, IF Ilyas arXiv preprint arXiv:2012.15713, 2020 | 45 | 2020 |

Visualizing privacy-utility trade-offs in differentially private data releases P Nanayakkara, J Bater, X He, J Hullman, J Rogers arXiv preprint arXiv:2201.05964, 2022 | 44 | 2022 |

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 | 35 | 2019 |

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 | 32 | 2022 |

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 | 31 | 2020 |

Unbiased statistical estimation and valid confidence intervals under differential privacy C Covington, X He, J Honaker, G Kamath arXiv preprint arXiv:2110.14465, 2021 | 30 | 2021 |

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 | 21 | 2016 |

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 | 18 | 2018 |

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 | 16 | 2020 |

Differential privacy for databases JP Near, X He Foundations and Trends® in Databases 11 (2), 109-225, 2021 | 11 | 2021 |