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Natasha Fernandes
Scholar

Natasha Fernandes

Google Scholar ID: 5h1K50kAAAAJ
Macquarie University
Differential PrivacyFormal MethodsQuantitative Information Flow
Google Scholar↗
Citations & Impact
All-time
Citations
376
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
10
list available
Contact
No contact links provided.
Publications
8 items
Beyond Epsilon: A Principled QIF Framework for Local Differential Privacy
2026
Cited
0
Inspectable AI for Science: A Research Object Approach to Generative AI Governance
2026
Cited
0
Generalizable IoT Traffic Representations for Cross-Network Device Identification
2026
Cited
0
Composition Theorems for f-Differential Privacy
2025
Cited
0
A new measure for dynamic leakage based on quantitative information flow
2025
Cited
0
What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?
2025
Cited
0
Empirical Calibration and Metric Differential Privacy in Language Models
2025
Cited
0
Comparing privacy notions for protection against reconstruction attacks in machine learning
2025
Cited
0
Resume (English only)
Co-authors
10 total
Annabelle McIver
Annabelle McIver
Macquarie University
Mark Dras
Mark Dras
Professor of Computing, Macquarie University
Co-author 3
Co-author 3
Catuscia Palamidessi
Catuscia Palamidessi
Inria
Co-author 5
Co-author 5
Co-author 6
Co-author 6
Pedro Faustini
Pedro Faustini
Macquarie University
Takao Murakami
Takao Murakami
The Institute of Statistical Mathematics (ISM)