Nirajan Koirala

According to our database, Nirajan Koirala authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

Select-Then-Compute: Encrypted Label Selection and Analytics over Distributed Datasets using FHE.

Nirajan Koirala, Seunghun Paik, Sam Martin, Helena Berens, Tasha Januszewicz, Jonathan Takeshita, Jae Hong Seo, Taeho Jung

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

Scalable Private Set Intersection over Distributed Encrypted Data.

Seunghun Paik, Nirajan Koirala, Jack Nero, Hyunjung Son, Yunki Kim, Jae Hong Seo, Taeho Jung

Proceedings of the ACM Asia Conference on Computer and Communications Security, 2026

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

HyDia: FHE-based Facial Matching with Hybrid Approximations and Diagonalization.

Sam Martin, Nirajan Koirala, Helena Berens, Tamás Rozgonyi, Micah Brody, Taeho Jung

Proc. Priv. Enhancing Technol., 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

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 Gutiérrez, Nirajan Koirala, Jiachen Zhao, Jonathan Takeshita, Jaewoo Lee, Taeho Jung

Proceedings of the Security and Privacy in Communication Networks, 2024

PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud.

Zhepeng Wang, Yi Sheng, Nirajan Koirala, Kanad Basu, Taeho Jung, Cheng-Chang Lu, Weiwen Jiang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024