Natasha Fernandes

According to our database, Natasha Fernandes authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

The Privacy-Utility Trade-off in the Topics API.

Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Gabriel H. Nunes

CoRR, 2024

Bayes' capacity as a measure for reconstruction attacks in federated learning.

Sayan Biswas, Mark Dras, Pedro Faustini, Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Parastoo Sadeghi

CoRR, 2024

Explaining ∊ in Local Differential Privacy Through the Lens of Quantitative Information Flow.

Natasha Fernandes, Annabelle McIver, Parastoo Sadeghi

Proceedings of the 37th IEEE Computer Security Foundations Symposium, 2024

2023

Quantitative Information Flow Techniques for Studying Optimality in Differential Privacy.

Natasha Fernandes

ACM SIGLOG News, January, 2023

Universal optimality and robust utility bounds for metric differential privacy.

Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding

J. Comput. Secur., 2023

A Quantitative Information Flow Analysis of the Topics API.

Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Gabriel Henrique Nunes

Proceedings of the 22nd Workshop on Privacy in the Electronic Society, 2023

A Novel Analysis of Utility in Privacy Pipelines, Using Kronecker Products and Quantitative Information Flow.

Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel Henrique Nunes

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

A novel reconstruction attack on foreign-trade official statistics, with a Brazilian case study.

Danilo Fabrino Favato, Gabriel Coutinho, Mário S. Alvim, Natasha Fernandes

Proc. Priv. Enhancing Technol., 2022

Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata.

Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel Henrique Nunes

Proc. Priv. Enhancing Technol., 2022

Directional Privacy for Deep Learning.

Pedro Faustini, Natasha Fernandes, Annabelle McIver, Mark Dras

CoRR, 2022

Explaining epsilon in differential privacy through the lens of information theory.

Natasha Fernandes, Annabelle McIver, Parastoo Sadeghi

CoRR, 2022

How to Develop an Intuition for Risk... and Other Invisible Phenomena (Invited Talk).

Natasha Fernandes, Annabelle McIver, Carroll Morgan

Proceedings of the 30th EACSL Annual Conference on Computer Science Logic, 2022

2021

Differential Privacy for Metric Spaces: Information-Theoretic Models for Privacy and Utility with New Applications to Metric Domains. (Confidentialité différentielle pour les espaces métriques: modèles théoriques de l'information pour la confidentialité et l'utilité avec de nouvelles applications aux domaines métriques).

Natasha Fernandes

PhD thesis, 2021

The Laplace Mechanism has optimal utility for differential privacy over continuous queries.

Natasha Fernandes, Annabelle McIver, Carroll Morgan

Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science, 2021

Locality Sensitive Hashing with Extended Differential Privacy.

Natasha Fernandes, Yusuke Kawamoto, Takao Murakami

Proceedings of the Computer Security - ESORICS 2021, 2021

2020

Refinement Orders for Quantitative Information Flow and Differential Privacy.

Konstantinos Chatzikokolakis, Natasha Fernandes, Catuscia Palamidessi

J. Cybersecur. Priv., December, 2020

On Privacy and Accuracy in Data Releases (Invited Paper).

Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Gabriel Henrique Nunes

Proceedings of the 31st International Conference on Concurrency Theory, 2020

2019

Generalised Differential Privacy for Text Document Processing.

Natasha Fernandes, Mark Dras, Annabelle McIver

Proceedings of the Principles of Security and Trust - 8th International Conference, 2019

Comparing Systems: Max-Case Refinement Orders and Application to Differential Privacy.

Konstantinos Chatzikokolakis, Natasha Fernandes, Catuscia Palamidessi

Proceedings of the 32nd IEEE Computer Security Foundations Symposium, 2019

Utility-Preserving Privacy Mechanisms for Counting Queries.

Natasha Fernandes, Lefki Kacem, Catuscia Palamidessi

Proceedings of the Models, Languages, and Tools for Concurrent and Distributed Programming, 2019

2018

Author Obfuscation Using Generalised Differential Privacy.

Natasha Fernandes, Mark Dras, Annabelle McIver

CoRR, 2018

Processing Text for Privacy: An Information Flow Perspective.

Natasha Fernandes, Mark Dras, Annabelle McIver

Proceedings of the Formal Methods - 22nd International Symposium, 2018