| Fpga acceleration of fully homomorphic encryption over the torus T Ye, R Kannan, VK Prasanna 2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2022 | 29 | 2022 |
| Performance modeling and FPGA acceleration of homomorphic encrypted convolution T Ye, SR Kuppannagari, R Kannan, VK Prasanna 2021 31st International Conference on Field-Programmable Logic and …, 2021 | 19 | 2021 |
| Fpga acceleration of number theoretic transform T Ye, Y Yang, SR Kuppannagari, R Kannan, VK Prasanna High Performance Computing: 36th International Conference, ISC High …, 2021 | 15 | 2021 |
| Accelerator design and performance modeling for homomorphic encrypted cnn inference T Ye, R Kannan, VK Prasanna 2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2020 | 8 | 2020 |
| Adversarial attack on GNN-based SAR image classifier T Ye, R Kannan, V Prasanna, C Busart Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2023 | 7 | 2023 |
| Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition J Fein-Ashley, T Ye, R Kannan, V Prasanna, C Busart 2023 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2023 | 6 | 2023 |
| Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers T Ye, R Kannan, V Prasanna, C Busart, L Kaplan 2023 IEEE International Radar Conference (RADAR), 1-6, 2023 | 5 | 2023 |
| How can Human-in-the-loop Improve the Performance of SAR ATR? A Reinforcement Learning Based Approach B Zhang, S Wijeratne, T Ye, R Kannan, V Prasanna, C Busart, L Kaplan 2023 IEEE International Radar Conference (RADAR), 1-6, 2023 | 2 | 2023 |
| Factual: A novel framework for contrastive learning based robust sar image classification X Wang, T Ye, R Kannan, V Prasanna 2024 IEEE Radar Conference (RadarConf24), 1-6, 2024 | 1 | 2024 |
| Uncertainty-aware sar atr: Defending against adversarial attacks via bayesian neural networks T Ye, R Kannan, V Prasanna, C Busart 2024 IEEE Radar Conference (RadarConf24), 1-6, 2024 | 1 | 2024 |
| ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning D Parikh, J Fein-Ashley, T Ye, R Kannan, V Prasanna arXiv preprint arXiv:2501.10640, 2025 | | 2025 |
| Adversarial Training in Low-Label Regimes with Margin-Based Interpolation T Ye, R Kannan, V Prasanna arXiv preprint arXiv:2411.17959, 2024 | | 2024 |
| Estimating the Impact of Communication Schemes for Distributed Graph Processing T Ye, SR Kuppannagari, CAF De Rose, S Wijeratne, R Kannan, ... 2022 21st International Symposium on Parallel and Distributed Computing …, 2022 | | 2022 |
| End-to-End Acceleration of Homomorphic Encrypted CNN Inference on FPGAs T Ye, R Kannan, VK Prasanna Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022 | | 2022 |
Viktor K. PrasannaUniversity of Southern CaliforniaVerified email at usc.edu