| Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption S Hardy, W Henecka, H Ivey-Law, R Nock, G Patrini, G Smith, B Thorne arXiv preprint arXiv:1711.10677, 2017 | 687 | 2017 |
| Entity resolution and federated learning get a federated resolution R Nock, S Hardy, W Henecka, H Ivey-Law, G Patrini, G Smith, B Thorne arXiv preprint arXiv:1803.04035, 2018 | 117 | 2018 |
| Secure Evaluation Protocol for Personalized Medicine M Djatmiko, A Friedman, R Boreli, F Lawrence, B Thorne, S Hardy PETS Workshop on Genome Privacy, 2014 | 22 | 2014 |
| The impact of record linkage on learning from feature partitioned data R Nock, S Hardy, W Henecka, H Ivey-Law, J Nabaglo, G Patrini, G Smith, ... International Conference on Machine Learning, 8216-8226, 2021 | 12 | 2021 |
| Introduction to computer vision in python B Thorne The Python Papers Monograph 1, 13, 2009 | 12 | 2009 |
| Privacy-preserving entity resolution and logistic regression on encrypted data M Djatmiko, S Hardy, W Henecka, H Ivey-Law, M Ott, G Patrini, G Smith, ... Private and Secure Machine Learning (PSML), 2017 | 8 | 2017 |
| Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption. arXiv preprint arXiv: 171110677 S Hardy, W Henecka, H Ivey-Law, R Nock, G Patrini, G Smith, B Thorne November, 2017 | 7 | 2017 |
| Python for prototyping computer vision applications B Thorne, R Grasset University of Canterbury. Human Interface Technology Laboratory, 2010 | 6 | 2010 |
| Entity resolution and federated learning get a federated resolution. arXiv 2018 R Nock, S Hardy, W Henecka, H Ivey-Law, G Patrini, G Smith, B Thorne arXiv preprint arXiv:1803.04035, 1803 | 6 | 1803 |
| Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption (2017). doi: 10.48550 S Hardy, W Henecka, H Ivey-Law, R Nock, G Patrini, G Smith, B Thorne arXiv preprint ARXIV.1711.10677, 0 | 6 | |
| Fairness-aware privacy-preserving record linkage D Vatsalan, J Yu, W Henecka, B Thorne Data Privacy Management, Cryptocurrencies and Blockchain Technology: ESORICS …, 2020 | 5 | 2020 |
| ScipySim: Towards Distributed Heterogeneous System Simulation for the SciPy Platform AI McInnes, BR Thorne University of Canterbury. Electrical and Computer Engineering, 2011 | 5 | 2011 |
| Hyper-parameter optimization for privacy-preserving record linkage J Yu, J Nabaglo, D Vatsalan, W Henecka, B Thorne ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2020 | 3 | 2020 |
| Computationally simulating intermodal terminal attractiveness and demand S Banerjee, G Mathews, C Aracena, B Thorne, Y Tyshetskiy, T Vitsounis Proceedings of the 23 Intelligent Transport Systems World Congress …, 2016 | 3 | 2016 |
| P-signature-based blocking to improve the scalability of privacy-preserving record linkage D Vatsalan, J Yu, B Thorne, W Henecka Data Privacy Management, Cryptocurrencies and Blockchain Technology: ESORICS …, 2020 | 2 | 2020 |
| Canopy-Based Private Blocking Y Shu, S Hardy, B Thorne Data Mining: 16th Australasian Conference, AusDM 2018, Bahrurst, NSW …, 2019 | 1 | 2019 |
| Analysis of demand and operations of inter-modal terminals R García-Flores, S Banerjee, G Mathews, B Vacher, B Thorne, N Borhan, ... Data and Decision Sciences in Action: Proceedings of the Australian Society …, 2018 | 1 | 2018 |
| Hyper-Parameter Optimization for Privacy-Preserving Record Linkage B Thorne ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2021 | | 2021 |
| The Impact of Record Linkage on Learning from Feature Partitioned Data—Supplementary Material— R Nock, S Hardy, W Henecka, H Ivey-Law, J Nabaglo, G Patrini, G Smith, ... | | |
| Using Python in Computer Vision: Performance and Usability B Thorne, R Grasset, R Green | | |
Wilko HeneckaCSIRO's DATA61Email verificata su data61.csiro.au
