Generic attacks on secure outsourced databases G Kellaris, G Kollios, K Nissim, A O'neill Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications …, 2016 | 347 | 2016 |
Differentially private event sequences over infinite streams G Kellaris, S Papadopoulos, X Xiao, D Papadias | 307 | 2014 |
Practical differential privacy via grouping and smoothing G Kellaris, S Papadopoulos Proceedings of the 39th international conference on Very Large Data Bases …, 2013 | 150 | 2013 |
Psi ({\Psi}): a private data sharing interface M Gaboardi, J Honaker, G King, J Murtagh, K Nissim, J Ullman, S Vadhan arXiv preprint arXiv:1609.04340, 2016 | 91 | 2016 |
Map-matched trajectory compression G Kellaris, N Pelekis, Y Theodoridis Journal of Systems and Software 86 (6), 1566-1579, 2013 | 78 | 2013 |
Trajectory compression under network constraints G Kellaris, N Pelekis, Y Theodoridis Advances in Spatial and Temporal Databases: 11th International Symposium …, 2009 | 59 | 2009 |
Shortest path computation on air indexes G Kellaris, K Mouratidis Proceedings of the VLDB Endowment 3 (1-2), 747-757, 2010 | 48 | 2010 |
Accessing data while preserving privacy G Kellaris, G Kollios, K Nissim, A O’Neill CoRR, abs/1706.01552 5, 2017 | 39 | 2017 |
Combining differential privacy and PIR for efficient strong location privacy E Fung, G Kellaris, D Papadias International Symposium on Spatial and Temporal Databases, 295-312, 2015 | 23 | 2015 |
εpsolute: Efficiently querying databases while providing differential privacy D Bogatov, G Kellaris, G Kollios, K Nissim, A O'Neill Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 18 | 2021 |
Usable differential privacy: A case study with psi J Murtagh, K Taylor, G Kellaris, S Vadhan arXiv preprint arXiv:1809.04103, 2018 | 10 | 2018 |
Engineering methods for differentially private histograms: Efficiency beyond utility G Kellaris, S Papadopoulos, D Papadias IEEE Transactions on Knowledge and Data Engineering 31 (2), 315-328, 2018 | 10 | 2018 |
Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures L Qiu, G Kellaris, N Mamoulis, K Nissim, G Kollios Proceedings of the VLDB Endowment 16 (13), 4160-4173, 2023 | 4 | 2023 |
Revealing the unseen: how to expose cloud usage while protecting user privacy A Turk, M Varia, G Kellaris 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 1011-1016, 2017 | 1 | 2017 |
Efficiently querying databases while providing differential privacy YN Kobliner, G Kellaris, G Kollios US Patent 10,984,130, 2021 | | 2021 |
Marco Gaboardi James Honaker Gary King Jack Murtagh Kobbi Nissim Jonathan Ullman Salil Vadhan N Ahmed, A Antuca, B Avent, C Bain, V Balcer, J Bu, M Bun, S Chong, ... arXiv preprint arXiv:1609.04340, 2016 | | 2016 |
Practical differential privacy G Kellaris | | 2015 |
Shortest Path Computation on Air Indexes.(2010) G KELLARIS, K MOURATIDIS Proceedings of the VLDB Endowment: VLDB 10, 13-17, 0 | | |