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Jonathan Takeshita (竹下賢)
Jonathan Takeshita (竹下賢)
Old Dominion University
Verified email at nd.edu - Homepage
Title
Cited by
Cited by
Year
Computing-in-memory for performance and energy-efficient homomorphic encryption
D Reis, J Takeshita, T Jung, M Niemier, XS Hu
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (11 …, 2020
612020
Secure single-server nearly-identical image deduplication
J Takeshita, R Karl, T Jung
2020 29th International Conference on Computer Communications and Networks …, 2020
192020
Algorithmic acceleration of b/fv-like somewhat homomorphic encryption for compute-enabled ram
J Takeshita, D Reis, T Gong, M Niemier, XS Hu, T Jung
Selected Areas in Cryptography: 27th International Conference, Halifax, NS …, 2021
162021
Non-interactive mpc with trusted hardware secure against residual function attacks
R Karl, T Burchfield, J Takeshita, T Jung
Security and Privacy in Communication Networks: 15th EAI International …, 2019
132019
SLAP: Simpler, Improved Private Stream Aggregation from Ring Learning with Errors
J Takeshita, R Karl, T Gong, T Jung
Journal of Cryptology 36 (2), 2023
12*2023
Cryptonomial: a framework for private time-series polynomial calculations
R Karl, J Takeshita, A Mohammed, A Striegel, T Jung
Security and Privacy in Communication Networks: 17th EAI International …, 2021
102021
Provably secure contact tracing with conditional private set intersection
J Takeshita, R Karl, A Mohammed, A Striegel, T Jung
Security and Privacy in Communication Networks: 17th EAI International …, 2021
92021
Gps: Integration of graphene, palisade, and sgx for large-scale aggregations of distributed data
J Takeshita, C McKechney, J Pajak, A Papadimitriou, R Karl, T Jung
Cryptology ePrint Archive, 2021
92021
TERSE: tiny encryptions and really speedy execution for post-quantum private stream aggregation
J Takeshita, Z Carmichael, R Karl, T Jung
International Conference on Security and Privacy in Communication Systems …, 2022
82022
Cryptonite: a framework for flexible time-series secure aggregation with online fault tolerance
R Karl, J Takeshita, N Koirla, T Jung
Cryptology ePrint Archive, 2020
72020
Cryptonite: A framework for flexible time-series secure aggregation with non-interactive fault recovery
R Karl, J Takeshita, T Jung
Security and Privacy in Communication Networks: 17th EAI International …, 2021
52021
Using Intel SGX to improve private neural network training and inference
R Karl, J Takeshita, T Jung
Proceedings of the 7th Symposium on Hot Topics in the Science of Security, 1-2, 2020
52020
Heprofiler: An in-depth profiler of approximate homomorphic encryption libraries
J Takeshita, N Koirala, C McKechney, T Jung
Cryptology ePrint Archive, 2024
42024
Accelerating finite-field and torus fhe via compute-enabled (s) ram
J Takeshita, D Reis, T Gong, M Niemier, XS Hu, T Jung
IEEE Transactions on Computers, 2023
42023
Ppimce: An in-memory computing fabric for privacy preserving computing
H Geng, J Mo, D Reis, J Takeshita, T Jung, B Reagen, M Niemier, XS Hu
arXiv preprint arXiv:2308.02648, 2023
32023
Developing non-interactive MPC with trusted hardware for enhanced security
R Karl, H Burchfield, J Takeshita, T Jung
International Journal of Information Security 21 (4), 777-797, 2022
22022
Cryptogram: fast private calculations of histograms over multiple users’ inputs
R Karl, J Takeshita, A Mohammed, A Striegel, T Jung
2021 17th International Conference on Distributed Computing in Sensor …, 2021
22021
Enabling faster operations for deeper circuits in full rns variants of fv-like somewhat homomorphic encryption
J Takeshita, M Schoenbauer, R Karl, T Jung
Cryptology ePrint Archive, 2020
22020
PSMT: Private Segmented Membership Test for Distributed Record Linkage
N Koirala, J Takeshita, J Stevens, S Martin, T Jung
Cryptology ePrint Archive, 2025
2025
Towards Improving and Integrating Homomorphic Cryptography and Trusted Hardware
J Takeshita
University of Notre Dame, 2025
2025
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Articles 1–20