Rupesh Raj Karn

According to our database, Rupesh Raj Karn authored at least 27 papers between 2015 and 2025.

Collaborative distances:

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

2025

SALAD: Systematic Assessment of Machine Unlearing on LLM-Aided Hardware Design.

Zeng Wang, Minghao Shao, Rupesh Raj Karn, Likhitha Mankali, Jitendra Bhandari, Ramesh Karri, Ozgur Sinanoglu, Muhammad Shafique, Johann Knechtel

CoRR, June, 2025

Linear Feedback Control Systems for Iterative Prompt Optimization in Large Language Models.

Rupesh Raj Karn

CoRR, January, 2025

Educational Framework for Power Side-Channel Attacks on Neural Networks in Embedded Systems.

Rupesh Raj Karn, Prithwish Basu Roy, Johann Knechtel, Ozgur Sinanoglu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Logic Locking for Random Forests: Securing HDL Design and FPGA Accelerator Implementation.

Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu

Proceedings of the 11th International Conference on Information Systems Security and Privacy, 2025

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

Benchmarking Backdoor Attacks on Graph Convolution Neural Networks: A Comprehensive Analysis of Poisoning Techniques.

Rupesh Raj Karn, Ozgur Sinanoglu

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2024

Locking Decision Tree with State Permutation Obfuscation: Software Implementation.

Rupesh Raj Karn, Ozgur Sinanoglu

Proceedings of the 22nd IEEE Interregional NEWCAS Conference, 2024

Code-Based Cryptography for Confidential Inference on FPGAs: An End-to-End Methodology.

Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu

Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

Obfuscation of FSMs for Secure Outsourcing of Neural Network Inference onto FPGAs.

Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Selective Forgetting in Task-Progressive Learning Through Machine Unlearning.

Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2024

Order-Preserving Cryptography for the Confidential Inference in Random Forests: FPGA Design and Implementation.

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

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

TNEST: Training Sparse Neural Network for FPGA Based Edge Application.

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

Proceedings of the Second International Conference on Advances in Computing Research, 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

Confidential Inference in Decision Trees.

Rupesh Raj Karn, Mizan Abraha Gebremichael, Kashif Nawaz, Ibrahim M. Elfadel

Proceedings of the VLSI-SoC 2023: Innovations for Trustworthy Artificial Intelligence, 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 M. 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