Jonathan Takeshita

According to our database, Jonathan Takeshita authored at least 22 papers between 2019 and 2025.

Collaborative distances:

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

2025

HEProfiler: an in-depth profiler of approximate homomorphic encryption libraries.

Jonathan Takeshita, Nirajan Koirala, Colin McKechney, Taeho Jung

J. Cryptogr. Eng., June, 2025

Cryptonite: A Framework for Flexible Time-Series Secure Aggregation with Non-interactive Fault Recovery.

Ryan Karl, Nirajan Koirala, Tasha Januszewicz, Jonathan Takeshita, Taeho Jung

SN Comput. Sci., March, 2025

PSMT: Private Segmented Membership Test for Distributed Record Linkage.

Nirajan Koirala, Jonathan Takeshita, Jeremy Stevens, Sam Martin, Taeho Jung

IACR Cryptol. ePrint Arch., 2025

2024

Accelerating Finite-Field and Torus Fully Homomorphic Encryption via Compute-Enabled (S)RAM.

Jonathan Takeshita, Dayane Reis, Ting Gong, Michael T. Niemier, Xiaobo Sharon Hu, Taeho Jung

IEEE Trans. Computers, October, 2024

Summation-based Private Segmented Membership Test from Threshold-Fully Homomorphic Encryption.

Nirajan Koirala, Jonathan Takeshita, Jeremy Stevens, Taeho Jung

IACR Cryptol. ePrint Arch., 2024

PPSA: Polynomial Private Stream Aggregation for Time-Series Data Analysis.

Antonia Januszewicz, Daniela Medrano Gutierrez, Nirajan Koirala, Jiachen Zhao, Jonathan Takeshita, Jaewoo Lee, Taeho Jung

IACR Cryptol. ePrint Arch., 2024

2023

SLAP: Simpler, Improved Private Stream Aggregation from Ring Learning with Errors.

Jonathan Takeshita, Ryan Karl, Ting Gong, Taeho Jung

J. Cryptol., April, 2023

Privacy Preserving In-memory Computing Engine.

Haoran Geng, Jianqiao Mo, Dayane Reis, Jonathan Takeshita, Taeho Jung, Brandon Reagen, Michael T. Niemier, Xiaobo Sharon Hu

CoRR, 2023

2022

Developing non-interactive MPC with trusted hardware for enhanced security.

Ryan Karl, Hannah Burchfield, Jonathan Takeshita, Taeho Jung

Int. J. Inf. Sec., 2022

TERSE: Tiny Encryptions and Really Speedy Execution for Post-Quantum Private Stream Aggregation.

Jonathan Takeshita, Zachariah Carmichael, Ryan Karl, Taeho Jung

Proceedings of the Security and Privacy in Communication Networks, 2022

2021

GPS: Integration of Graphene, PALISADE, and SGX for Large-scale Aggregations of Distributed Data.

Jonathan Takeshita, Colin McKechney, Justin Pajak, Antonis Papadimitriou, Ryan Karl, Taeho Jung

IACR Cryptol. ePrint Arch., 2021

Provably Secure Contact Tracing with Conditional Private Set Intersection.

Jonathan Takeshita, Ryan Karl, Alamin Mohammed, Aaron Striegel, Taeho Jung

Proceedings of the Security and Privacy in Communication Networks, 2021

Cryptonomial: A Framework for Private Time-Series Polynomial Calculations.

Ryan Karl, Jonathan Takeshita, Alamin Mohammed, Aaron Striegel, Taeho Jung

Proceedings of the Security and Privacy in Communication Networks, 2021

Cryptonite: A Framework for Flexible Time-Series Secure Aggregation with Non-interactive Fault Recovery.

Ryan Karl, Jonathan Takeshita, Taeho Jung

Proceedings of the Security and Privacy in Communication Networks, 2021

CryptoGram: Fast Private Calculations of Histograms over Multiple Users' Inputs.

Ryan Karl, Jonathan Takeshita, Alamin Mohammed, Aaron Striegel, Taeho Jung

Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021

2020

Computing-in-Memory for Performance and Energy-Efficient Homomorphic Encryption.

Dayane Reis, Jonathan Takeshita, Taeho Jung, Michael T. Niemier, Xiaobo Sharon Hu

IEEE Trans. Very Large Scale Integr. Syst., 2020

Enabling Faster Operations for Deeper Circuits in Full RNS Variants of FV-like Somewhat Homomorphic Encryption.

Jonathan Takeshita, Matthew M. Schoenbauer, Ryan Karl, Taeho Jung

IACR Cryptol. ePrint Arch., 2020

SLAP: Simple Lattice-Based Private Stream Aggregation Protocol.

Jonathan Takeshita, Ryan Karl, Ting Gong, Taeho Jung

IACR Cryptol. ePrint Arch., 2020

Cryptonite: A Framework for Flexible Time-Series Secure Aggregation with Online Fault Tolerance.

Ryan Karl, Jonathan Takeshita, Taeho Jung

IACR Cryptol. ePrint Arch., 2020

Algorithmic Acceleration of B/FV-Like Somewhat Homomorphic Encryption for Compute-Enabled RAM.

Jonathan Takeshita, Dayane Reis, Ting Gong, Michael T. Niemier, X. Sharon Hu, Taeho Jung

Proceedings of the Selected Areas in Cryptography - SAC 2020, 2020

Secure Single-Server Nearly-Identical Image Deduplication.

Jonathan Takeshita, Ryan Karl, Taeho Jung

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019

Non-Interactive MPC with Trusted Hardware Secure Against Residual Function Attacks.

Ryan Karl, Timothy Burchfield, Jonathan Takeshita, Taeho Jung

Proceedings of the Security and Privacy in Communication Networks, 2019