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Natasha Fernandes
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Generalised differential privacy for text document processing
N Fernandes, M Dras, A McIver
Principles of Security and Trust: 8th International Conference, POST 2019 …, 2019
972019
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
202019
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
162021
Locality sensitive hashing with extended differential privacy
N Fernandes, Y Kawamoto, T Murakami
European Symposium on Research in Computer Security, 563-583, 2021
132021
Author obfuscation using generalised differential privacy
N Fernandes, M Dras, A McIver
arXiv preprint arXiv:1805.08866, 2018
122018
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
102018
On privacy and accuracy in data releases
MS Alvim, N Fernandes, A McIver, GH Nunes
31st International Conference on Concurrency Theory (CONCUR 2020), 2020
92020
Utility-preserving privacy mechanisms for counting queries
N Fernandes, K Lefki, C Palamidessi
Models, Languages, and Tools for Concurrent and Distributed Programming …, 2019
82019
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
52022
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
52021
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
52020
Explaining epsilon in differential privacy through the lens of information theory
N Fernandes, A McIver, P Sadeghi
arXiv preprint arXiv:2210.12916, 2022
42022
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
42022
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
4*2022
A novel framework for author obfuscation using generalised differential privacy
N Fernandes
Macquarie University, 2022
22022
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
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
12023
A Quantitative Information Flow Analysis of the Topics API
MS Alvim, N Fernandes, A McIver, GH Nunes
Proceedings of the 22nd Workshop on Privacy in the Electronic Society, 123-127, 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
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