Natasha Fernandes

Research Associate

PUBLICATIONS

Book Chapters
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Fernandes N; Lefki K; Palamidessi C, 2019, 'Utility-preserving privacy mechanisms for counting queries', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 487 - 495, http://dx.doi.org/10.1007/978-3-030-21485-2_27
2019
Fernandes N; Dras M; McIver A, 2019, 'Generalised Differential Privacy for Text Document Processing', in , pp. 123 - 148, http://dx.doi.org/10.1007/978-3-030-17138-4_6
2019
Fernandes N; Dras M; McIver A, 2018, 'Processing text for privacy: An information flow perspective', in , pp. 3 - 21, http://dx.doi.org/10.1007/978-3-319-95582-7_1
2018
Conference Papers
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Fernandes N; Kawamoto Y; Murakami T, 2021, 'Locality Sensitive Hashing with Extended Differential Privacy', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 563 - 583, http://dx.doi.org/10.1007/978-3-030-88428-4_28
2021
Alvim MS; Fernandes N; McIver A; Nunes GH, 2020, 'On privacy and accuracy in data releases', in Leibniz International Proceedings in Informatics, LIPIcs, pp. 11 - 118, http://dx.doi.org/10.4230/LIPIcs.CONCUR.2020.1
2020
Chatzikokolakis K; Fernandes N; Palamidessi C, 2019, 'Comparing systems: Max-case refinement orders and application to differential privacy', in Proceedings - IEEE Computer Security Foundations Symposium, pp. 442 - 457, http://dx.doi.org/10.1109/CSF.2019.00037
2019
Journal articles
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Fernandes N; McIver A; Morgan C, 2021, 'The Laplace Mechanism has optimal utility for differential privacy over continuous queries', Proceedings - Symposium on Logic in Computer Science, vol. 2021-June, http://dx.doi.org/10.1109/LICS52264.2021.9470718
2021
Chatzikokolakis K; Fernandes N; Palamidessi C, 2020, 'Refinement Orders for Quantitative Information Flow and Differential Privacy', Journal of Cybersecurity and Privacy, vol. 1, pp. 40 - 77, http://dx.doi.org/10.3390/jcp1010004
2020
Fernandes N; Dras M; McIver A, 2018, 'Author Obfuscation Using Generalised Differential Privacy', , http://arxiv.org/abs/1805.08866v1
2018