| 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 | 150 | 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 | 129 | 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 | 46 | 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 | 36 | 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 | 25 | 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 | 23* | 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), 307-320, 2018 | 19 | 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 | 16* | 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 | 11 | 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 | 9 | 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 | 8 | 2016 |
| Analyzing your location data with provable privacy guarantees A Machanavajjhala, X He Handbook of Mobile Data Privacy, 97-127, 2018 | 5 | 2018 |
| 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 | 3 | 2020 |
| DP-Cryptography: marrying differential privacy and cryptography in emerging applications S Wagh, X He, A Machanavajjhala, P Mittal arXiv preprint arXiv:2004.08887, 2020 | 3 | 2020 |
| Scaling private record linkage using output constrained differential privacy X He, A Machanavajjhala, CJ Flynn, D Srivastava CoRR abs/1702.00535, 2017 | 3 | 2017 |
| 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 | 2 | 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 | 2 | 2019 |
| 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 | 1 | 2020 |
| 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 | 1 | 2020 |
| Diffindo! differentially private learning with noisy labels S Mohapatra, X He, G Kamath, O Thakkar PPAI Workshop, AAAI, 2019 | 1 | 2019 |
