Hannah Keller

According to our database, Hannah Keller authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

Piquantϵ: Private Quantile Estimation in the Two-Server Model.

Hannah Keller, Jacob Imola, Fabrizio Boninsegna, Rasmus Pagh, Amrita Roy Chowdhury

CoRR, September, 2025

Differentially Private Quantiles with Smaller Error.

Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh

CoRR, May, 2025

PREAMBLE: Private and Efficient Aggregation of Block Sparse Vectors and Applications.

Hilal Asi, Vitaly Feldman, Hannah Keller, Guy N. Rothblum, Kunal Talwar

IACR Cryptol. ePrint Arch., 2025

Module Learning with Errors with Truncated Matrices.

Katharina Boudgoust, Hannah Keller

Proceedings of the Post-Quantum Cryptography - 16th International Workshop, 2025

2024

Distributed Differentially Private Data Analytics via Secure Sketching.

Jakob Burkhardt, Hannah Keller, Claudio Orlandi, Chris Schwiegelshohn

IACR Cryptol. ePrint Arch., 2024

Differentially Private Selection from Secure Distributed Computing.

Ivan Damgård, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh

Proceedings of the ACM on Web Conference 2024, 2024

Secure Noise Sampling for DP in MPC with Finite Precision.

Hannah Keller, Helen Möllering, Thomas Schneider, Oleksandr Tkachenko, Liang Zhao

Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

2023

MPC with Low Bottleneck-Complexity: Information-Theoretic Security and More.

Hannah Keller, Claudio Orlandi, Anat Paskin-Cherniavsky, Divya Ravi

Proceedings of the 4th Conference on Information-Theoretic Cryptography, 2023

2021

Quantifying identifiability to choose and audit epsilon in differentially private deep learning.

Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum

Proc. VLDB Endow., 2021

Quantifying identifiability to choose and audit ε in differentially private deep learning.

Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum

CoRR, 2021

Balancing Quality and Efficiency in Private Clustering with Affinity Propagation.

Hannah Keller, Helen Möllering, Thomas Schneider, Hossein Yalame

Proceedings of the 18th International Conference on Security and Cryptography, 2021