Rupesh Raj Karn

According to our database, Rupesh Raj Karn authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Progressive Learning With Recurrent Neural Network for Sequence Classification.

Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu

IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

2023

Post-Quantum, Order-Preserving Encryption for the Confidential Inference in Decision Trees: FPGA Design and Implementation.

Rupesh Raj Karn, Kashif Nawaz, Ibrahim Abe M. Elfadel

Proceedings of the 31st IFIP/IEEE International Conference on Very Large Scale Integration, 2023

Securing Decision Tree Inference Using Order-Preserving Cryptography.

Rupesh Raj Karn, Kashif Nawaz, Ibrahim Abe M. Elfadel

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

Confidential Inference in Decision Trees: FPGA Design and Implementation.

Rupesh Raj Karn, Ibrahim Abe M. Elfadel

Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022

Hyper-parameter Tuning for Progressive Learning and its Application to Network Cyber Security.

Rupesh Raj Karn, Matthew Ziegler, Jinwook Jung, Ibrahim Abe M. Elfadel

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Automated Testing and Resilience of Microservice's Network-link using Istio Service Mesh.

Rupesh Raj Karn, Rammi Das, Dibakar Raj Pant, Jukka Heikkonen, Rajeev Kumar Kanth

Proceedings of the 31st Conference of Open Innovations Association, 2022

Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation.

Manoj Joshi, Dibakar Raj Pant, Rupesh Raj Karn, Jukka Heikkonen, Rajeev Kumar Kanth

Proceedings of the 31st Conference of Open Innovations Association, 2022

2021

Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning.

Rupesh Raj Karn, Prabhakar Kudva, Hai Huang, Sahil Suneja, Ibrahim M. Elfadel

IEEE Trans. Parallel Distributed Syst., 2021

Learning Without Forgetting: A New Framework for Network Cyber Security Threat Detection.

Rupesh Raj Karn, Prabhakar Kudva, Ibrahim M. Elfadel

IEEE Access, 2021

2020

Dynamically Generated Compact Neural Networks for Task Progressive Learning.

Rupesh Raj Karn, Prabhakar Kudva, Ibrahim Abe M. Elfadel

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Dynamic Autoselection and Autotuning of Machine Learning Models for Cloud Network Analytics.

Rupesh Raj Karn, Prabhakar Kudva, Ibrahim Abe M. Elfadel

IEEE Trans. Parallel Distributed Syst., 2019

Criteria for Learning without Forgetting in Artificial Neural Networks.

Rupesh Raj Karn, Prabhakar Kudva, Ibrahim M. Elfadel

Proceedings of the 2019 IEEE International Conference on Cognitive Computing, 2019

2016

Autoscaling of cores in multicore processors using power and thermal workload signatures.

Rupesh Raj Karn, Ibrahim Abe M. Elfadel

Proceedings of the IEEE 59th International Midwest Symposium on Circuits and Systems, 2016

2015

Multicore power proxies using least-angle regression.

Rupesh Raj Karn, Ibrahim Abe M. Elfadel

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Extraction of thermal workload signatures in multicore processors using least angle regression.

Rupesh Raj Karn, Ibrahim M. Elfadel

Proceedings of the International Conference on Communications, 2015