| Cryptomining detection in container clouds using system calls and explainable machine learning RR Karn, P Kudva, H Huang, S Suneja, IM Elfadel IEEE transactions on parallel and distributed systems 32 (3), 674-691, 2020 | 84 | 2020 |
| Dynamic autoselection and autotuning of machine learning models for cloud network analytics RR Karn, P Kudva, IAM Elfadel IEEE Transactions on Parallel and Distributed Systems 30 (5), 1052-1064, 2018 | 34 | 2018 |
| Learning without forgetting: A new framework for network cyber security threat detection RR Karn, P Kudva, IM Elfadel IEEE Access 9, 137042-137062, 2021 | 14 | 2021 |
| Automated testing and resilience of Microservice’s network-link using istio service mesh RR Karn, R Das, DR Pant, J Heikkonen, R Kanth 2022 31st Conference of Open Innovations Association (FRUCT), 79-88, 2022 | 9 | 2022 |
| Criteria for learning without forgetting in artificial neural networks RR Karn, P Kudva, IM Elfadel 2019 IEEE International Conference on Cognitive Computing (ICCC), 90-97, 2019 | 6 | 2019 |
| Confidential inference in decision trees: FPGA design and implementation RR Karn, IAM Elfadel 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration …, 2022 | 5 | 2022 |
| Securing decision tree inference using order-preserving cryptography RR Karn, K Nawaz, IAM Elfadel 2023 IEEE 5th International Conference on Artificial Intelligence Circuits …, 2023 | 4 | 2023 |
| Hyper-parameter tuning for progressive learning and its application to network cyber security RR Karn, M Ziegler, J Jung, IAM Elfadel 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 1220-1224, 2022 | 4 | 2022 |
| Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation M Joshi, DR Pant, RR Karn, J Heikkonen, R Kanth 2022 31st Conference of Open Innovations Association (FRUCT), 71-78, 2022 | 4 | 2022 |
| Autoscaling of cores in multicore processors using power and thermal workload signatures RR Karn, IAM Elfadel 2016 IEEE 59th International Midwest Symposium on Circuits and Systems …, 2016 | 2 | 2016 |
| Multicore power proxies using least-angle regression RR Karn, IAM Elfadel 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2872-2875, 2015 | 2 | 2015 |
| Post-Quantum, Order-Preserving Encryption for the Confidential Inference in Decision Trees: FPGA Design and Implementation RR Karn, K Nawaz, IAM Elfadel 2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration …, 2023 | 1 | 2023 |
| Dynamically generated compact neural networks for task progressive learning RR Karn, P Kudva, IAM Elfadel 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 1 | 2020 |
| Extraction of thermal workload signatures in multicore processors using least angle regression RR Karn, IM Elfadel 2015 International Conference on Communications, Signal Processing, and …, 2015 | 1 | 2015 |
| Obfuscation of FSMs for Secure Outsourcing of Neural Network Inference onto FPGAs RR Karn, J Knechtel, O Sinanoglu 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2024 | | 2024 |
| System and method for encrypting machine learning models IM Elfadel, R Karn, K Nawaz US Patent App. 18/479,894, 2024 | | 2024 |
| Code-Based Cryptography for Confidential Inference on FPGAs: An End-to-End Methodology RR Karn, J Knechtel, O Sinanoglu 2024 25th International Symposium on Quality Electronic Design (ISQED), 1-8, 2024 | | 2024 |
| TNEST: Training Sparse Neural Network for FPGA Based Edge Application R Das, RR Karn, J Heikkonen, R Kanth International Conference on Advances in Computing Research, 15-28, 2024 | | 2024 |
| Progressive Learning With Recurrent Neural Network for Sequence Classification RR Karn, J Knechtel, O Sinanoglu IEEE Transactions on Circuits and Systems II: Express Briefs, 2023 | | 2023 |
| Hardware/Software Co-acceleration of Progressive Learning under Feature Dimension Variation RR Karn, IAM Elfadel 2022 International Conference on Electrical and Computing Technologies and …, 2022 | | 2022 |
