| l-diversity: Privacy beyond k-anonymity A Machanavajjhala, J Gehrke, D Kifer, M Venkitasubramaniam Data Engineering, 2006. ICDE'06. Proceedings of the 22nd International …, 2006 | 7331 | 2006 |
| Privacy: Theory meets practice on the map A Machanavajjhala, D Kifer, J Abowd, J Gehrke, L Vilhuber Proceedings of the 2008 IEEE 24th International Conference on Data …, 2008 | 881 | 2008 |
| No free lunch in data privacy D Kifer, A Machanavajjhala Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 852 | 2011 |
| Pufferfish: A framework for mathematical privacy definitions D Kifer, A Machanavajjhala ACM Transactions on Database Systems (TODS) 39 (1), 1-36, 2014 | 566* | 2014 |
| Entity resolution: theory, practice & open challenges L Getoor, A Machanavajjhala Proceedings of the VLDB Endowment 5 (12), 2018-2019, 2012 | 465 | 2012 |
| Worst-case background knowledge for privacy-preserving data publishing DJ Martin, D Kifer, A Machanavajjhala, J Gehrke, JY Halpern 2007 IEEE 23rd International Conference on Data Engineering, 126-135, 2007 | 424 | 2007 |
| 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 | 281 | 2015 |
| Privacy preserving data publishing BC Chen, D Kifer, K LeFevre, A Machanavajjhala Foundations and Trends in Databases 2 (1-2), 1-167, 2009 | 262 | 2009 |
| Personalized social recommendations: accurate or private A Machanavajjhala, A Korolova, AD Sarma Proceedings of the VLDB Endowment 4 (7), 440-450, 2011 | 252 | 2011 |
| 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 | 251 | 2014 |
| Principled evaluation of differentially private algorithms using DPBench M Hay, A Machanavajjhala, G Miklau, Y Chen, D Zhang Proceedings of the 2016 International Conference on Management of Data, 139-154, 2016 | 194 | 2016 |
| HDMM: Optimizing error of high-dimensional statistical queries under differential privacy R McKenna, G Miklau, M Hay, A Machanavajjhala arXiv preprint arXiv:2106.12118, 2021 | 159 | 2021 |
| Finding connected components in map-reduce in logarithmic rounds V Rastogi, A Machanavajjhala, L Chitnis, AD Sarma 2013 IEEE 29th International Conference on Data Engineering (ICDE), 50-61, 2013 | 158 | 2013 |
| 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 | 153* | 2019 |
| Publishing Search Logs—A Comparative Study of Privacy Guarantees M Götz, A Machanavajjhala, G Wang, X Xiao, J Gehrke IEEE Transactions on Knowledge and Data Engineering 24 (3), 520, 2012 | 152 | 2012 |
| 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 | 142 | 2017 |
| Entity resolution for big data L Getoor, A Machanavajjhala Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 142 | 2013 |
| Fair decision making using privacy-protected data D Pujol, R McKenna, S Kuppam, M Hay, A Machanavajjhala, G Miklau Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 140 | 2020 |
| PeGaSus: Data-Adaptive Differentially Private Stream Processing Y Chen, A Machanavajjhala, M Hay, G Miklau Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017 | 127 | 2017 |
| 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 | 120 | 2018 |
Johannes GehrkeMicrosoftZweryfikowany adres z microsoft.com
