PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud. - Zhepeng Wang 001; Yi Sheng; Nirajan Koirala; Kanad Basu; Taeho Jung; Cheng-Chang Lu; Weiwen Jiang (ISVLSI, 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)

Summation-based Private Segmented Membership Test from Threshold-Fully Homomorphic Encryption. - Nirajan Koirala; Jonathan Takeshita; Jeremy Stevens; Taeho Jung (Proc. Priv. Enhancing Technol., 2024)

PSMT: Private Segmented Membership Test for Distributed Record Linkage. - Nirajan Koirala; Jonathan Takeshita; Jeremy Stevens; Sam Martin; Taeho Jung (IACR Cryptol. ePrint Arch., 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)

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., 2025)

HEProfiler: an in-depth profiler of approximate homomorphic encryption libraries. - Jonathan Takeshita; Nirajan Koirala; Colin McKechney; Taeho Jung (J. Cryptogr. Eng., 2025)