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ORCIDRupesh Raj Karn
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2020 – today
- 2024
[j4]Rupesh Raj Karn
, Johann Knechtel, Ozgur Sinanoglu:
Progressive Learning With Recurrent Neural Network for Sequence Classification. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1591-1595 (2024)- [c16]Rammi Das, Rupesh Raj Karn, Jukka Heikkonen, Rajeev Kumar Kanth:
TNEST: Training Sparse Neural Network for FPGA Based Edge Application. ACR 2024: 15-28 - [c15]Rupesh Raj Karn, Kashif Nawaz, Ibrahim Abe M. Elfadel:
Order-Preserving Cryptography for the Confidential Inference in Random Forests: FPGA Design and Implementation. DAC 2024: 173:1-173:6 - [c14]Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu:
Obfuscation of FSMs for Secure Outsourcing of Neural Network Inference onto FPGAs. ISCAS 2024: 1-5 - [c13]Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu:
Code-Based Cryptography for Confidential Inference on FPGAs: An End-to-End Methodology. ISQED 2024: 1-8 - [c12]Rupesh Raj Karn, Ozgur Sinanoglu:
Locking Decision Tree with State Permutation Obfuscation: Software Implementation. NewCAS 2024: 353-357 - 2023
- [c11]Rupesh Raj Karn, Kashif Nawaz, Ibrahim Abe M. Elfadel:
Securing Decision Tree Inference Using Order-Preserving Cryptography. AICAS 2023: 1-5 - [c10]Rupesh Raj Karn, Kashif Nawaz, Ibrahim Abe M. Elfadel:
Post-Quantum, Order-Preserving Encryption for the Confidential Inference in Decision Trees: FPGA Design and Implementation. VLSI-SoC 2023: 1-6 - 2022
- [c9]Manoj Joshi, Dibakar Raj Pant, Rupesh Raj Karn, Jukka Heikkonen, Rajeev Kumar Kanth:
Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation. FRUCT 2022: 71-78 - [c8]Rupesh Raj Karn, Rammi Das, Dibakar Raj Pant, Jukka Heikkonen, Rajeev Kumar Kanth:
Automated Testing and Resilience of Microservice's Network-link using Istio Service Mesh. FRUCT 2022: 79-88 - [c7]Rupesh Raj Karn, Matthew Ziegler, Jinwook Jung, Ibrahim Abe M. Elfadel:
Hyper-parameter Tuning for Progressive Learning and its Application to Network Cyber Security. ISCAS 2022: 1220-1224 - [c6]Rupesh Raj Karn, Ibrahim Abe M. Elfadel:
Confidential Inference in Decision Trees: FPGA Design and Implementation. VLSI-SoC 2022: 1-6 - 2021
- [j3]Rupesh Raj Karn, Prabhakar Kudva, Ibrahim M. Elfadel:
Learning Without Forgetting: A New Framework for Network Cyber Security Threat Detection. IEEE Access 9: 137042-137062 (2021) - [j2]Rupesh Raj Karn, Prabhakar Kudva, Hai Huang, Sahil Suneja, Ibrahim M. Elfadel:
Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning. IEEE Trans. Parallel Distributed Syst. 32(3): 674-691 (2021) - 2020
- [c5]Rupesh Raj Karn, Prabhakar Kudva, Ibrahim Abe M. Elfadel:
Dynamically Generated Compact Neural Networks for Task Progressive Learning. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [j1]Rupesh Raj Karn, Prabhakar Kudva, Ibrahim Abe M. Elfadel:
Dynamic Autoselection and Autotuning of Machine Learning Models for Cloud Network Analytics. IEEE Trans. Parallel Distributed Syst. 30(5): 1052-1064 (2019) - [c4]Rupesh Raj Karn, Prabhakar Kudva, Ibrahim M. Elfadel:
Criteria for Learning without Forgetting in Artificial Neural Networks. ICCC 2019: 90-97 - 2016
- [c3]Rupesh Raj Karn, Ibrahim Abe M. Elfadel:
Autoscaling of cores in multicore processors using power and thermal workload signatures. MWSCAS 2016: 1-4 - 2015
- [c2]Rupesh Raj Karn, Ibrahim M. Elfadel:
Extraction of thermal workload signatures in multicore processors using least angle regression. ICCSPA 2015: 1-5 - [c1]Rupesh Raj Karn, Ibrahim Abe M. Elfadel:
Multicore power proxies using least-angle regression. ISCAS 2015: 2872-2875
Coauthor Index
aka: Ibrahim Abe M. Elfadel
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