Christian Janos Lebeda

21 papers A* 2B 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms Under Composition.
SaTML
Christian Janos Lebeda, Matthew Regehr, Gautam Kamath, Thomas Steinke
2025 J jnl
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch.
ACM Trans. Database Syst.
Christian Janos Lebeda, Jakub Tetek
2025 — conf
Better Gaussian Mechanism using Correlated Noise.
SOSA
Christian Janos Lebeda
2025 J jnl
Model Agnostic Differentially Private Causal Inference.
CoRR
Christian Janos Lebeda, Mathieu Even, Aurélien Bellet, Julie Josse
2025 — conf
Testing Identity of Distributions under Kolmogorov Distance in Polylogarithmic Space.
SOSA
Christian Janos Lebeda, Jakub Tetek
2025 — conf
The Correlated Gaussian Sparse Histogram Mechanism.
FORC
Christian Janos Lebeda, Lukas Retschmeier
2025 J jnl
Weighted Fourier Factorizations: Optimal Gaussian Noise for Differentially Private Marginal and Product Queries.
CoRR
Christian Janos Lebeda, Aleksandar Nikolov, Haohua Tang
2024 J jnl
Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition.
CoRR
Christian Janos Lebeda, Matthew Regehr, Gautam Kamath, Thomas Steinke
2024 J jnl
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch.
SIGMOD Rec.
Christian Janos Lebeda, Jakub Tetek
2024 J jnl
Better Gaussian Mechanism using Correlated Noise.
CoRR
Christian Janos Lebeda
2024 J jnl
PLAN: Variance-Aware Private Mean Estimation.
Proc. Priv. Enhancing Technol.
Martin Aumüller, Christian Janos Lebeda, Boel Nelson, Rasmus Pagh
2024 J jnl
Testing Identity of Distributions under Kolmogorov Distance in Polylogarithmic Space.
CoRR
Christian Janos Lebeda, Jakub Tetek
2024 J jnl
The Correlated Gaussian Sparse Histogram Mechanism.
CoRR
Christian Janos Lebeda, Lukas Retschmeier
2023 A* conf
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch.
PODS
Christian Janos Lebeda, Jakub Tetek
2023 J jnl
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch.
CoRR
Christian Janos Lebeda, Jakub Tetek
2023 B conf
Correlated-Output Differential Privacy and Applications to Dark Pools.
AFT
James Hsin-yu Chiang, Bernardo David, Mariana Gama, Christian Janos Lebeda
2023 J jnl
Correlated-Output-Differential-Privacy and Applications to Dark Pools.
IACR Cryptol. ePrint Arch.
James Hsin-yu Chiang, Bernardo David, Mariana Gama, Christian Janos Lebeda
2023 J jnl
PLAN: Variance-Aware Private Mean Estimation.
CoRR
Martin Aumüller, Christian Janos Lebeda, Boel Nelson, Rasmus Pagh
2022 J jnl
Representing Sparse Vectors with Differential Privacy, Low Error, Optimal Space, and Fast Access.
J. Priv. Confidentiality
Christian Janos Lebeda, Martin Aumüller, Rasmus Pagh
2021 A* conf
Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access.
CCS
Martin Aumüller, Christian Janos Lebeda, Rasmus Pagh
2021 J jnl
Differentially private sparse vectors with low error, optimal space, and fast access.
CoRR
Martin Aumüller, Christian Janos Lebeda, Rasmus Pagh