Natasha Fernandes

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Locality Sensitive Hashing

Differential Privacy

Information Flow

Top Venues

Proc. Priv. Enhancing Technol.

Publications

Sayan Biswas, Mark Dras, Pedro Faustini, Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Parastoo Sadeghi
Bayes' capacity as a measure for reconstruction attacks in federated learning. CoRR (2024)
Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Gabriel H. Nunes
The Privacy-Utility Trade-off in the Topics API. CoRR (2024)
Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Gabriel Henrique Nunes
A Quantitative Information Flow Analysis of the Topics API. CoRR (2023)
Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Gabriel Henrique Nunes
A Quantitative Information Flow Analysis of the Topics API. WPES@CCS (2023)
Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel Henrique Nunes
A Novel Analysis of Utility in Privacy Pipelines, Using Kronecker Products and Quantitative Information Flow. CCS (2023)
Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel Henrique Nunes
A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow. CoRR (2023)
Natasha Fernandes
Quantitative Information Flow Techniques for Studying Optimality in Differential Privacy. ACM SIGLOG News 10 (1) (2023)
Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding
Universal optimality and robust utility bounds for metric differential privacy. J. Comput. Secur. 31 (5) (2023)
Pedro Faustini, Natasha Fernandes, Annabelle McIver, Mark Dras
Directional Privacy for Deep Learning. CoRR (2022)
Danilo Fabrino Favato, Gabriel Coutinho, Mário S. Alvim, Natasha Fernandes
A novel reconstruction attack on foreign-trade official statistics, with a Brazilian case study. Proc. Priv. Enhancing Technol. 2022 (4) (2022)
Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel H. Nunes
Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata. CoRR (2022)
Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding
Universal Optimality and Robust Utility Bounds for Metric Differential Privacy. CoRR (2022)
Danilo Fabrino Favato, Gabriel Coutinho, Mário S. Alvim, Natasha Fernandes
A novel reconstruction attack on foreign-trade official statistics, with a Brazilian case study. CoRR (2022)
Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel H. Nunes
Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata. Proc. Priv. Enhancing Technol. 2022 (4) (2022)
Natasha Fernandes, Annabelle McIver, Parastoo Sadeghi
Explaining epsilon in differential privacy through the lens of information theory. CoRR (2022)
Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding
Universal Optimality and Robust Utility Bounds for Metric Differential Privacy. CSF (2022)
Natasha Fernandes, Annabelle McIver, Carroll Morgan
How to Develop an Intuition for Risk... and Other Invisible Phenomena (Invited Talk). CSL (2022)
Natasha Fernandes, Annabelle McIver, Carroll Morgan
The Laplace Mechanism has optimal utility for differential privacy over continuous queries. LICS (2021)
Natasha Fernandes, Yusuke Kawamoto, Takao Murakami
Locality Sensitive Hashing with Extended Differential Privacy. ESORICS (2) (2021)
Natasha Fernandes, Annabelle McIver, Carroll Morgan
The Laplace Mechanism has optimal utility for differential privacy over continuous queries. CoRR (2021)
Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Gabriel H. Nunes
On Privacy and Accuracy in Data Releases (Invited Paper). CONCUR (2020)
Natasha Fernandes, Yusuke Kawamoto, Takao Murakami
Locality Sensitive Hashing with Extended Differential Privacy. CoRR (2020)
Konstantinos Chatzikokolakis, Natasha Fernandes, Catuscia Palamidessi
Refinement Orders for Quantitative Information Flow and Differential Privacy. J. Cybersecur. Priv. 1 (1) (2020)
Konstantinos Chatzikokolakis, Natasha Fernandes, Catuscia Palamidessi
Comparing Systems: Max-Case Refinement Orders and Application to Differential Privacy. CSF (2019)
Natasha Fernandes, Lefki Kacem, Catuscia Palamidessi
Utility-Preserving Privacy Mechanisms for Counting Queries. CoRR (2019)
Natasha Fernandes, Lefki Kacem, Catuscia Palamidessi
Utility-Preserving Privacy Mechanisms for Counting Queries. Models, Languages, and Tools for Concurrent and Distributed Programming (2019)
Natasha Fernandes, Mark Dras, Annabelle McIver
Generalised Differential Privacy for Text Document Processing. POST (2019)
Natasha Fernandes, Mark Dras, Annabelle McIver
Generalised Differential Privacy for Text Document Processing. CoRR (2018)
Natasha Fernandes, Mark Dras, Annabelle McIver
Author Obfuscation Using Generalised Differential Privacy. CoRR (2018)
Natasha Fernandes, Mark Dras, Annabelle McIver
Processing Text for Privacy: An Information Flow Perspective. FM (2018)