Leonhard Grosse

11 papers B 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dobrushin Coefficients of Private Mechanisms Beyond Local Differential Privacy.
CoRR
Leonhard Grosse, Sara Saeidian, Tobias J. Oechtering, Mikael Skoglund
2026 J jnl
Information Density Bounds for Privacy.
IEEE Trans. Inf. Theory
Sara Saeidian, Leonhard Grosse, Parastoo Sadeghi, Mikael Skoglund, Tobias J. Oechtering
2025 J jnl
A Tight Context-Aware Privacy Bound for Histogram Publication.
IEEE Signal Process. Lett.
Sara Saeidian, Ata Yavuzyilmaz, Leonhard Grosse, Georg Friedrich Schuppe, Tobias J. Oechtering
2025 J jnl
A Tight Context-aware Privacy Bound for Histogram Publication.
CoRR
Sara Saeidian, Ata Yavuzyilmaz, Leonhard Grosse, Georg Friedrich Schuppe, Tobias J. Oechtering
2025 J jnl
Privacy Mechanism Design based on Empirical Distributions.
CoRR
Leonhard Grosse, Sara Saeidian, Mikael Skoglund, Tobias J. Oechtering
2025 J jnl
Strong Data Processing Properties of Rényi-divergences via Pinsker-type Inequalities.
CoRR
Leonhard Grosse, Sara Saeidian, Tobias J. Oechtering, Mikael Skoglund
2024 J jnl
Extremal Mechanisms for Pointwise Maximal Leakage.
IEEE Trans. Inf. Forensics Secur.
Leonhard Grosse, Sara Saeidian, Tobias J. Oechtering
2024 J jnl
Information Density Bounds for Privacy.
CoRR
Sara Saeidian, Leonhard Grosse, Parastoo Sadeghi, Mikael Skoglund, Tobias J. Oechtering
2024 B conf
Quantifying Privacy via Information Density.
ISIT
Leonhard Grosse, Sara Saeidian, Parastoo Sadeghi, Tobias J. Oechtering, Mikael Skoglund
2024 J jnl
Quantifying Privacy via Information Density.
CoRR
Leonhard Grosse, Sara Saeidian, Parastoo Sadeghi, Tobias J. Oechtering, Mikael Skoglund
2023 J jnl
Extremal Mechanisms for Pointwise Maximal Leakage.
CoRR
Leonhard Grosse, Sara Saeidian, Tobias J. Oechtering