| 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 | 7 | 2020 |
| PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud Z Wang, Y Sheng, N Koirala, K Basu, T Jung, CC Lu, W Jiang arXiv preprint arXiv:2404.13475, 2024 | 4 | 2024 |
| Heprofiler: An in-depth profiler of approximate homomorphic encryption libraries J Takeshita, N Koirala, C McKechney, T Jung Cryptology ePrint Archive, 2024 | 3 | 2024 |
| Applications of Deep Learning Methods in Autonomous Driving Systems N Koirala | 1 | 2021 |
| Summation-based Private Segmented Membership Test from Threshold-Fully Homomorphic Encryption N Koirala, J Takeshita, J Stevens, T Jung Cryptology ePrint Archive, 2024 | | 2024 |
| Docker Performance Evaluation A Poudel, N Koirala | | 2021 |
| Adversarial Attacks against Deep Neural Networks N Koirala Villanova University, 2021 | | 2021 |
| Implementation and Performance study of Advanced Encryption Standard N Koirala | | 2020 |
Taeho JungAssociate Professor of Computer Science and Engineering, University of Notre Dame在 nd.edu 的电子邮件经过验证
