- Seunghun Paik, Nirajan Koirala, Jack Nero, Hyunjung Son, Yunki Kim, Jae Hong Seo, Taeho Jung
- “Scalable Private Membership Test over Distributed and Encrypted Data”
- 21st ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2026)
Category: Selected Publications
A paper accepted by NDSS 2026
- Nirajan Koirala, Seunghun Paik, Sam Martin, Helena Berens, Tasha Januszewicz, Jonathan Takeshita, Jae Hong Seo, Taeho Jung
- “Select-Then-Compute: Encrypted Label Selection and Analytics over Distributed Datasets using FHE”
- Network and Distributed System Security Symposium 2026 (NDSS 2026)
A paper accepted by IEEE Blockchain 2025
- Showkot Hossain, Wenyi Tang, Changhao Chenli, Haijian Sun, WenZhan Song, Seokki Lee, Mic Bowman, Taeho Jung
- “MtDB: A Decentralized Multi-Tenant Database for Secure Data Sharing”
- 8th IEEE International Conference on Blockchain (IEEE Blockchain 2025)
A paper accepted by PETS 2025
- Sam Martin, Nirajan Koirala, Helena Berens, Tommy Rozgonyi, Micah Brody, Taeho Jung
- “HyDia: FHE-based Facial Matching with Hybrid Approximations and Diagonalization”
- The 25th Privacy Enhancing Technologies Symposium (PETS 2025)
A paper accepted by IEEE Blockchain 2024
- Wenyi Tang, Shankha Shuhbra Mukherjee, Seongho Park, Changhao Chenli, Hyunok Oh, Jihye Kim, Taeho Jung
- “GrAC: Graph-Based Anonymous Credentials From Identity Graphs on Blockchain”
- 7th IEEE International Conference on Blockchain (IEEE Blockchain 2024)
A paper accepted by PETS 2024
- Nirajan Koirala, Jonathan Takeshita, Jeremy Stevens, Taeho Jung
- “Summation-based Private Segmented Membership Test from Threshold-Fully Homomorphic Encryption”
- The 24th Privacy Enhancing Technologies Symposium (PETS 2024)
A paper accepted by IEEE TDSC
- Changhao Chenli, Wenyi Tang, Hyeonbum Lee, Taeho Jung
- “Fair2Trade: Digital Trading Platform Ensuring Exchange and Distribution Fairness”
- IEEE Transactions on Dependable and Secure Computing (IEEE TDSC)
A paper accepted by JoC
- Jonathan Takeshita, Ryan Karl, Ting Gong, Taeho Jung
- “SLAP: Simpler, Improved Private Stream Aggregation from Ring Learning With Errors”
- IACR Journal of Cryptography (JoC)