| Generalised differential privacy for text document processing N Fernandes, M Dras, A McIver Principles of Security and Trust: 8th International Conference, POST 2019 …, 2019 | 86 | 2019 |
| Comparing systems: Max-case refinement orders and application to differential privacy K Chatzikokolakis, N Fernandes, C Palamidessi 2019 IEEE 32nd Computer Security Foundations Symposium (CSF), 442-44215, 2019 | 20 | 2019 |
| The Laplace Mechanism has optimal utility for differential privacy over continuous queries N Fernandes, A McIver, C Morgan 2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 1-12, 2021 | 16 | 2021 |
| Locality sensitive hashing with extended differential privacy N Fernandes, Y Kawamoto, T Murakami European Symposium on Research in Computer Security, 563-583, 2021 | 12 | 2021 |
| Processing text for privacy: an information flow perspective N Fernandes, M Dras, A McIver Formal Methods: 22nd International Symposium, FM 2018, Held as Part of the …, 2018 | 10 | 2018 |
| On privacy and accuracy in data releases MS Alvim, N Fernandes, A McIver, GH Nunes 31st International Conference on Concurrency Theory (CONCUR 2020), 2020 | 9 | 2020 |
| Author obfuscation using generalised differential privacy N Fernandes, M Dras, A McIver arXiv preprint arXiv:1805.08866, 2018 | 9 | 2018 |
| Utility-preserving privacy mechanisms for counting queries N Fernandes, K Lefki, C Palamidessi Models, Languages, and Tools for Concurrent and Distributed Programming …, 2019 | 8 | 2019 |
| Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata MS Alvim, N Fernandes, A McIver, C Morgan, GH Nunes arXiv preprint arXiv:2204.13734, 2022 | 5 | 2022 |
| Differential privacy for metric spaces: information-theoretic models for privacy and utility with new applications to metric domains N Fernandes École Polytechnique Paris; Macquarie University, 2021 | 5 | 2021 |
| Refinement orders for quantitative information flow and differential privacy K Chatzikokolakis, N Fernandes, C Palamidessi Journal of Cybersecurity and Privacy 1 (1), 40-77, 2020 | 5 | 2020 |
| Universal optimality and robust utility bounds for metric differential privacy N Fernandes, A McIver, C Palamidessi, M Ding 2022 IEEE 35th Computer Security Foundations Symposium (CSF), 348-363, 2022 | 4 | 2022 |
| Explaining epsilon in differential privacy through the lens of information theory N Fernandes, A McIver, P Sadeghi arXiv preprint arXiv:2210.12916, 2022 | 2 | 2022 |
| A novel reconstruction attack on foreign-trade official statistics, with a Brazilian case study D Fabrino Favato, G Coutinho, MS Alvim, N Fernandes arXiv e-prints, arXiv: 2206.06493, 2022 | 2* | 2022 |
| A novel framework for author obfuscation using generalised differential privacy N Fernandes Macquarie University, 2022 | 1 | 2022 |
| A Quantitative Information Flow Analysis of the Topics API MS Alvim, N Fernandes, A McIver, GH Nunes arXiv preprint arXiv:2309.14746, 2023 | | 2023 |
| A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow MS Alvim, N Fernandes, A McIver, C Morgan, GH Nunes arXiv preprint arXiv:2308.11110, 2023 | | 2023 |
| Quantitative Information Flow Techniques for Studying Optimality in Differential Privacy N Fernandes ACM SIGLOG News 10 (1), 4-22, 2023 | | 2023 |
| On the duality of privacy and fairness MS Alvim, N Fernandes, BD Nogueira, C Palamidessi, TVA Silva IET Digital Library, 2023 | | 2023 |
| Directional Privacy for Deep Learning P Faustini, N Fernandes, S Tonni, A McIver, M Dras arXiv preprint arXiv:2211.04686, 2022 | | 2022 |
Annabelle McIverMacquarie UniversityVerified email at mq.edu.au
