Benchmarking Continual Learning on Netlists with Circuit-Targeted Graph Neural Networks.

Rupesh Raj Karn Rupesh Raj Karn Johann Knechtel Ozgur Sinanoglu Benchmarking Continual Learning on Netlists with Circuit-Targeted Graph Neural Networks. ASP-DAC 2026 15-21 conf/aspdac/2026 https://doi.org/10.1109/ASP-DAC66049.2026.11420312 db/conf/aspdac/aspdac2026.html#KarnKS26 streams/conf/aspdac Rupesh Raj Karn Johann Knechtel Ramesh Karri Ozgur Sinanoglu LLM-Driven Code Generation for Neural Networks on FPGAs: Bridging Python and HLS. 590-593 2025 ICCD https://doi.org/10.1109/ICCD65941.2025.00090 conf/iccd/2025 db/conf/iccd/iccd2025.html#KarnKKS25 streams/conf/iccd Rupesh Raj Karn Johann Knechtel Ozgur Sinanoglu Logic Locking for Random Forests: Securing HDL Design and FPGA Accelerator Implementation. 463-473 2025 ICISSP (2) https://doi.org/10.5220/0013108000003899 conf/icissp/2025-2 db/conf/icissp/icissp2025-2.html#KarnKS25 Rupesh Raj Karn Prithwish Basu Roy Johann Knechtel Ozgur Sinanoglu Unlearning in Decision Tree Classifiers and Microcontroller Implementations. 617-624 2025 CAI https://doi.org/10.1109/CAI64502.2025.00114 conf/ieeecai/2025 db/conf/ieeecai/ieeecai2025.html#KarnRKS25 streams/conf/ieeecai Rupesh Raj Karn Johann Knechtel Ozgur Sinanoglu Backdoor Attack Detection in Decision Tree Classifiers Using SHAP Explainability. 839-846 2025 CAI https://doi.org/10.1109/CAI64502.2025.00149 conf/ieeecai/2025 db/conf/ieeecai/ieeecai2025.html#KarnKS25 streams/conf/ieeecai Rupesh Raj Karn Prithwish Basu Roy Johann Knechtel Ozgur Sinanoglu Educational Framework for Power Side-Channel Attacks on Neural Networks in Embedded Systems. 1-5 2025 ISCAS https://doi.org/10.1109/ISCAS56072.2025.11043456 conf/iscas/2025 db/conf/iscas/iscas2025.html#KarnRKS25 Zeng Wang Minghao Shao Rupesh Raj Karn Likhitha Mankali Jitendra Bhandari Ramesh Karri Ozgur Sinanoglu Muhammad Shafique 0001 Johann Knechtel SALAD: Systematic Assessment of Machine Unlearning on LLM-Aided Hardware Design. 1-10 2025 MLCAD https://doi.org/10.1109/MLCAD65511.2025.11189152 conf/mlcad/2025 db/conf/mlcad/mlcad2025.html#WangSKMBKSSK25 streams/conf/mlcad Rupesh Raj Karn Ozgur Sinanoglu Trojan Attacks on Graph Convolution Neural Networks for Circuit Analysis. VLSI-SoC 2025 1-5 conf/vlsi/2025 https://doi.org/10.1109/VLSI-SoC64688.2025.11421719 db/conf/vlsi/vlsisoc2025.html#KarnS25 streams/conf/vlsi

Rupesh Raj Karn Linear Feedback Control Systems for Iterative Prompt Optimization in Large Language Models. 2025 January abs/2501.11979 CoRR https://doi.org/10.48550/arXiv.2501.11979 db/journals/corr/corr2501.html#abs-2501-11979 streams/journals/corr

Zeng Wang Minghao Shao Rupesh Raj Karn Likhitha Mankali Jitendra Bhandari Ramesh Karri Ozgur Sinanoglu Muhammad Shafique 0001 Johann Knechtel SALAD: Systematic Assessment of Machine Unlearing on LLM-Aided Hardware Design. 2025 June abs/2506.02089 CoRR https://doi.org/10.48550/arXiv.2506.02089 db/journals/corr/corr2506.html#abs-2506-02089 streams/journals/corr

Rupesh Raj Karn Lakshmi Likhitha Mankali Zeng Wang Saideep Sreekumar Prithwish Basu Roy Ozgur Sinanoglu Lilas Alrahis Johann Knechtel Logic Encryption: This Time for Real. 2025 December abs/2512.00833 CoRR https://doi.org/10.48550/arXiv.2512.00833 db/journals/corr/corr2512.html#abs-2512-00833 streams/journals/corr

Rupesh Raj Karn Johann Knechtel Ozgur Sinanoglu Progressive Learning With Recurrent Neural Network for Sequence Classification. 1591-1595 2024 March 71 IEEE Trans. Circuits Syst. II Express Briefs 3 https://doi.org/10.1109/TCSII.2023.3346046 db/journals/tcasII/tcasII71.html#KarnKS24

Rammi Das Rupesh Raj Karn Jukka Heikkonen Rajeev Kumar Kanth TNEST: Training Sparse Neural Network for FPGA Based Edge Application. 15-28 2024 ACR https://doi.org/10.1007/978-3-031-56950-0_2 conf/acr/2024 db/conf/acr/acr2024.html#DasKHK24 Rupesh Raj Karn Kashif Nawaz Ibrahim Abe M. Elfadel Order-Preserving Cryptography for the Confidential Inference in Random Forests: FPGA Design and Implementation. 173:1-173:6 2024 DAC https://doi.org/10.1145/3649329.3658481 conf/dac/2024 db/conf/dac/dac2024.html#KarnNE24 Rupesh Raj Karn Johann Knechtel Ozgur Sinanoglu Selective Forgetting in Task-Progressive Learning Through Machine Unlearning. 77-84 2024 ICMLC https://doi.org/10.1109/ICMLC63072.2024.10935063 conf/icmlc/2024 db/conf/icmlc/icmlc2024.html#KarnKS24 Rupesh Raj Karn Johann Knechtel Ozgur Sinanoglu Obfuscation of FSMs for Secure Outsourcing of Neural Network Inference onto FPGAs. 1-5 2024 ISCAS https://doi.org/10.1109/ISCAS58744.2024.10558279 conf/iscas/2024 db/conf/iscas/iscas2024.html#KarnKS24 Rupesh Raj Karn Johann Knechtel Ozgur Sinanoglu Code-Based Cryptography for Confidential Inference on FPGAs: An End-to-End Methodology. 1-8 2024 ISQED https://doi.org/10.1109/ISQED60706.2024.10528692 conf/isqed/2024 db/conf/isqed/isqed2024.html#KarnKS24 Rupesh Raj Karn Ozgur Sinanoglu Locking Decision Tree with State Permutation Obfuscation: Software Implementation. 353-357 2024 NewCAS https://doi.org/10.1109/NewCAS58973.2024.10666302 conf/newcas/2024 db/conf/newcas/newcas2024.html#KarnS24 streams/conf/newcas Rupesh Raj Karn Ozgur Sinanoglu Benchmarking Backdoor Attacks on Graph Convolution Neural Networks: A Comprehensive Analysis of Poisoning Techniques. 149-174 2024 SPACE https://doi.org/10.1007/978-3-031-80408-3_10 conf/space/2024 db/conf/space/space2024.html#KarnS24 streams/conf/space Rupesh Raj Karn Kashif Nawaz Ibrahim Abe M. Elfadel Securing Decision Tree Inference Using Order-Preserving Cryptography. 1-5 2023 AICAS https://doi.org/10.1109/AICAS57966.2023.10168588 conf/aicas/2023 db/conf/aicas/aicas2023.html#KarnNE23 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. 1-6 2023 VLSI-SoC https://doi.org/10.1109/VLSI-SoC57769.2023.10321917 conf/vlsi/2023 db/conf/vlsi/vlsisoc2023.html#KarnNE23 Rupesh Raj Karn Mizan Abraha Gebremichael Kashif Nawaz Ibrahim M. Elfadel Confidential Inference in Decision Trees. 273-297 2023 VLSI-SoC (Selected Papers) https://doi.org/10.1007/978-3-031-70947-0_14 conf/vlsi/2023socs db/conf/vlsi/vlsisoc2023s.html#KarnGNE23 Manoj Joshi Dibakar Raj Pant Rupesh Raj Karn Jukka Heikkonen Rajeev Kumar Kanth Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation. 71-78 2022 FRUCT https://doi.org/10.23919/FRUCT54823.2022.9770932 conf/fruct/2022 db/conf/fruct/fruct2022.html#JoshiPKHK22 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. 79-88 2022 FRUCT https://doi.org/10.23919/FRUCT54823.2022.9770890 conf/fruct/2022 db/conf/fruct/fruct2022.html#KarnDPHK22 Rupesh Raj Karn Matthew M. Ziegler Jinwook Jung Ibrahim Abe M. Elfadel Hyper-parameter Tuning for Progressive Learning and its Application to Network Cyber Security. 1220-1224 2022 ISCAS https://doi.org/10.1109/ISCAS48785.2022.9937433 conf/iscas/2022 db/conf/iscas/iscas2022.html#KarnZJE22 Rupesh Raj Karn Ibrahim Abe M. Elfadel Confidential Inference in Decision Trees: FPGA Design and Implementation. 1-6 2022 VLSI-SoC https://doi.org/10.1109/VLSI-SoC54400.2022.9939567 conf/vlsi/2022 db/conf/vlsi/vlsisoc2022.html#KarnE22

Rupesh Raj Karn Prabhakar Kudva Ibrahim M. Elfadel Learning Without Forgetting: A New Framework for Network Cyber Security Threat Detection. 137042-137062 2021 9 IEEE Access https://doi.org/10.1109/ACCESS.2021.3115946 db/journals/access/access9.html#KarnKE21

Rupesh Raj Karn Prabhakar Kudva Hai Huang 0002 Sahil Suneja Ibrahim M. Elfadel Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning. 674-691 2021 32 IEEE Trans. Parallel Distributed Syst. 3 https://doi.org/10.1109/TPDS.2020.3029088 db/journals/tpds/tpds32.html#KarnKHSE21

Rupesh Raj Karn Prabhakar Kudva Ibrahim Abe M. Elfadel Dynamically Generated Compact Neural Networks for Task Progressive Learning. 1-5 2020 ISCAS https://doi.org/10.1109/ISCAS45731.2020.9181240 conf/iscas/2020 db/conf/iscas/iscas2020.html#KarnKE20

Rupesh Raj Karn Prabhakar Kudva Ibrahim Abe M. Elfadel Dynamic Autoselection and Autotuning of Machine Learning Models for Cloud Network Analytics. 1052-1064 2019 30 IEEE Trans. Parallel Distributed Syst. 5 https://doi.org/10.1109/TPDS.2018.2876844 https://www.wikidata.org/entity/Q129064209 db/journals/tpds/tpds30.html#KarnKE19

Rupesh Raj Karn Prabhakar Kudva Ibrahim M. Elfadel Criteria for Learning without Forgetting in Artificial Neural Networks. 90-97 2019 ICCC https://doi.org/10.1109/ICCC.2019.00027 conf/ieeeiccc/2019 db/conf/ieeeiccc/ieeeiccc2019.html#KarnKE19 Rupesh Raj Karn Ibrahim Abe M. Elfadel Autoscaling of cores in multicore processors using power and thermal workload signatures. 1-4 2016 MWSCAS https://doi.org/10.1109/MWSCAS.2016.7870120 conf/mwscas/2016 db/conf/mwscas/mwscas2016.html#KarnE16 Rupesh Raj Karn Ibrahim M. Elfadel Extraction of thermal workload signatures in multicore processors using least angle regression. 1-5 2015 ICCSPA https://doi.org/10.1109/ICCSPA.2015.7081301 conf/iccspa/2015 db/conf/iccspa/iccspa2015.html#KarnE15 Rupesh Raj Karn Ibrahim Abe M. Elfadel Multicore power proxies using least-angle regression. 2872-2875 2015 ISCAS https://doi.org/10.1109/ISCAS.2015.7169286 conf/iscas/2015 db/conf/iscas/iscas2015.html#KarnE15 Lilas Alrahis Jitendra Bhandari Rammi Das Ibrahim M. ElfadelIbrahim Abe M. Elfadel Mizan Abraha Gebremichael Jukka Heikkonen Hai Huang 0002 Manoj Joshi Jinwook Jung Rajeev Kumar Kanth Ramesh Karri Johann Knechtel Prabhakar Kudva Likhitha MankaliLakshmi Likhitha Mankali Kashif Nawaz Dibakar Raj Pant Prithwish Basu Roy Muhammad Shafique 0001 Minghao Shao Ozgur Sinanoglu Saideep Sreekumar Sahil Suneja Zeng Wang Matthew M. Ziegler