Scholar
Natasha Fernandes
Google Scholar ID: 5h1K50kAAAAJ
Macquarie University
Differential Privacy
Formal Methods
Quantitative Information Flow
Follow
Google Scholar
↗
Citations & Impact
All-time
Citations
376
H-index
11
i10-index
11
Publications
20
Co-authors
10
list available
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
Co-authors
6 total
Annabelle McIver
Macquarie University
Mark Dras
Professor of Computing, Macquarie University
Catuscia Palamidessi
Inria
Pedro Faustini
Macquarie University
Takao Murakami
The Institute of Statistical Mathematics (ISM)
Gabriel Coutinho
Professor UFMG
