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Natasha Fernandes — most-cited papers & profile · Cybersecurity
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overview
Natasha Fernandes
10
papers ·
0
citations ·
12
h-index
Macquarie University
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Most-cited papers
Comparing privacy notions for protection against reconstruction attacks in machine learning
2025
Author Obfuscation Using Generalised Differential Privacy
2018
Generalised Differential Privacy for Text Document Processing
2018
Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata
2022
Universal Optimality and Robust Utility Bounds for Metric Differential Privacy
2022
Directional Privacy for Deep Learning
2022
A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow
2023
A Quantitative Information Flow Analysis of the Topics API
2023
Bayes' capacity as a measure for reconstruction attacks in federated learning
2024
The Privacy-Utility Trade-off in the Topics API
2024
Top co-authors
Annabelle McIver
· 10
Mark Dras
· 5
M\'ario S. Alvim
· 4
Catuscia Palamidessi
· 3
Gabriel H. Nunes
· 3
Pedro Faustini
· 3
Parastoo Sadeghi
· 2
Sayan Biswas
· 2
Carroll Morgan
· 1
Carroll Morgan and Gabriel H. Nunes
· 1
Ming Ding
· 1
Shakila Tonni
· 1
Topics
cs.CR
cs.LG
cs.IT
math.IT
Privacy
Adversarial ML
cs.AI