Hannah Keller - RankMe

20 papers A* 2A 1B 1C 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Differentially Private Quantiles with Smaller Error. CoRR Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh
2025	A*	`conf`	Distributed Differentially Private Data Analytics via Secure Sketching. ICML Jakob Burkhardt, Hannah Keller, Claudio Orlandi, Chris Schwiegelshohn
2025	—	`conf`	Module Learning with Errors with Truncated Matrices. PQCrypto (1) Katharina Boudgoust, Hannah Keller
2025	J	`jnl`	Module Learning with Errors with Truncated Matrices. IACR Cryptol. ePrint Arch. Katharina Boudgoust, Hannah Keller
2025	J	`jnl`	PREAMBLE: Private and Efficient Aggregation of Block Sparse Vectors and Applications. CoRR Hilal Asi, Vitaly Feldman, Hannah Keller, Guy N. Rothblum, Kunal Talwar
2025	J	`jnl`	PREAMBLE: Private and Efficient Aggregation of Block Sparse Vectors and Applications. IACR Cryptol. ePrint Arch. Hilal Asi, Vitaly Feldman, Hannah Keller, Guy N. Rothblum, Kunal Talwar
2025	J	`jnl`	Piquantϵ: Private Quantile Estimation in the Two-Server Model. CoRR Hannah Keller, Jacob Imola, Fabrizio Boninsegna, Rasmus Pagh, Amrita Roy Chowdhury
2024	A*	`conf`	Differentially Private Selection from Secure Distributed Computing. WWW Ivan Damgård, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh
2024	J	`jnl`	Distributed Differentially Private Data Analytics via Secure Sketching. CoRR Jakob Burkhardt, Hannah Keller, Claudio Orlandi, Chris Schwiegelshohn
2024	J	`jnl`	Distributed Differentially Private Data Analytics via Secure Sketching. IACR Cryptol. ePrint Arch. Jakob Burkhardt, Hannah Keller, Claudio Orlandi, Chris Schwiegelshohn
2024	B	`conf`	Secure Noise Sampling for DP in MPC with Finite Precision. ARES Hannah Keller, Helen Möllering, Thomas Schneider, Oleksandr Tkachenko, Liang Zhao
2023	J	`jnl`	Differentially Private Selection from Secure Distributed Computing. CoRR Ivan Damgård, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh
2023	J	`jnl`	Differentially Private Selection from Secure Distributed Computing. IACR Cryptol. ePrint Arch. Ivan Damgård, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh
2023	A	`conf`	MPC with Low Bottleneck-Complexity: Information-Theoretic Security and More. ITC Hannah Keller, Claudio Orlandi, Anat Paskin-Cherniavsky, Divya Ravi
2023	J	`jnl`	MPC with Low Bottleneck-Complexity: Information-Theoretic Security and More. IACR Cryptol. ePrint Arch. Hannah Keller, Claudio Orlandi, Anat Paskin-Cherniavsky, Divya Ravi
2023	J	`jnl`	Secure Noise Sampling for DP in MPC with Finite Precision. IACR Cryptol. ePrint Arch. Hannah Keller, Helen Möllering, Thomas Schneider, Oleksandr Tkachenko, Liang Zhao
2021	C	`conf`	Balancing Quality and Efficiency in Private Clustering with Affinity Propagation. SECRYPT Hannah Keller, Helen Möllering, Thomas Schneider, Hossein Yalame
2021	J	`jnl`	Balancing Quality and Efficiency in Private Clustering with Affinity Propagation. IACR Cryptol. ePrint Arch. Hannah Keller, Helen Möllering, Thomas Schneider, Hossein Yalame
2021	J	`jnl`	Quantifying identifiability to choose and audit epsilon in differentially private deep learning. Proc. VLDB Endow. Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum
2021	J	`jnl`	Quantifying identifiability to choose and audit ε in differentially private deep learning. CoRR Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum