Sara Saeidian

According to our database, Sara Saeidian authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Information Leakage Envelopes.

Sara Saeidian, Carlos Antonio Pinzón, Catuscia Palamidessi

CoRR, May, 2026

Information Density Bounds for Privacy.

Sara Saeidian, Leonhard Grosse, Parastoo Sadeghi, Mikael Skoglund, Tobias J. Oechtering

IEEE Trans. Inf. Theory, January, 2026

Dobrushin Coefficients of Private Mechanisms Beyond Local Differential Privacy.

Leonhard Grosse, Sara Saeidian, Tobias J. Oechtering, Mikael Skoglund

CoRR, January, 2026

On the Information Leakage Envelope of the Gaussian Mechanism.

Sara Saeidian

CoRR, January, 2026

Context-aware Privacy Bounds for Linear Queries.

Heng Zhao, Sara Saeidian, Tobias J. Oechtering

CoRR, January, 2026

2025

Privacy Mechanism Design based on Empirical Distributions.

Leonhard Grosse, Sara Saeidian, Mikael Skoglund, Tobias J. Oechtering

CoRR, September, 2025

Strong Data Processing Properties of Rényi-divergences via Pinsker-type Inequalities.

Leonhard Grosse, Sara Saeidian, Tobias J. Oechtering, Mikael Skoglund

CoRR, January, 2025

A Tight Context-Aware Privacy Bound for Histogram Publication.

Sara Saeidian, Ata Yavuzyilmaz, Leonhard Grosse, Georg Friedrich Schuppe, Tobias J. Oechtering

IEEE Signal Process. Lett., 2025

Rethinking Disclosure Prevention with Pointwise Maximal Leakage.

Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund

J. Priv. Confidentiality, 2025

2024

Pointwise Maximal Leakage: Robust, Flexible and Explainable Privacy ; Punktvist Maximalt Läckage: Robust, Flexibel och Förklarbar Dataintegritet.

Sara Saeidian

PhD thesis, 2024

Extremal Mechanisms for Pointwise Maximal Leakage.

Leonhard Grosse, Sara Saeidian, Tobias J. Oechtering

IEEE Trans. Inf. Forensics Secur., 2024

Quantifying Privacy via Information Density.

Leonhard Grosse, Sara Saeidian, Parastoo Sadeghi, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the IEEE International Symposium on Information Theory, 2024

Evaluating Differential Privacy on Correlated Datasets Using Pointwise Maximal Leakage.

Sara Saeidian, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the Privacy Technologies and Policy - 12th Annual Privacy Forum, 2024

2023

Inferential Privacy: From Impossibility to Database Privacy.

Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund

CoRR, 2023

Pointwise Maximal Leakage on General Alphabets.

Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Pointwise Maximal Leakage.

Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Quantifying Membership Privacy via Information Leakage.

Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund

IEEE Trans. Inf. Forensics Secur., 2021

Optimal Maximal Leakage-Distortion Tradeoff.

Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the IEEE Information Theory Workshop, 2021

2020

Downlink Power Control in Dense 5G Radio Access Networks Through Deep Reinforcement Learning.

Sara Saeidian, Soma Tayamon, Euhanna Ghadimi

Proceedings of the 2020 IEEE International Conference on Communications, 2020