| 2026 | ASPDAC | Benchmarking Continual Learning on Netlists with Circuit-Targeted Graph Neural Networks. | Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu |
| 2026 | DATE | Black-Box Robustness Probing of Graph Neural Networks for VLSI Circuit Netlists. | Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu |
| 2026 | DATE | Interpretable Graph Neural Networks for Fault Detection in Circuit Netlists. | Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu |
| 2026 | ICISSP | Securing Hyper-Dimensional Computing: A Locking Mechanism with FPGA Implementation. | Rupesh Raj Karn, Paul R. Genssler, Hussam Amrouch, Ozgur Sinanoglu |
| 2026 | ICISSP | LLM-Driven Python-to-Rust Translation for Efficient and Safe Code for Neural Networks: llm4py2rs. | Rupesh Raj Karn, Johann Knechtel, Siddharth Garg, Ramesh Karri, Ozgur Sinanoglu |
| 2026 | IOLTS | Structural Security Entropy: A Novel Prior for Robust GNN-Based Security Assessment of Netlists. | Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu |
| 2026 | IOLTS | Interpretable GNNs for Fault Detection in Circuits. | Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu |
| 2026 | ISCAS | Educational Perspectives on LLM Architectures: Analyzing Code Generation for Circuits and Systems. | Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu |
| 2026 | ISCAS | Dynamic GNNs for Continual Learning on Circuits. | Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu |
| 2025 | ICCD | LLM-Driven Code Generation for Neural Networks on FPGAs: Bridging Python and HLS. | Rupesh Raj Karn, Johann Knechtel, Ramesh Karri, Ozgur Sinanoglu |
| 2025 | ICISSP | Logic Locking for Random Forests: Securing HDL Design and FPGA Accelerator Implementation. | Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu |
| 2025 | ISCAS | Educational Framework for Power Side-Channel Attacks on Neural Networks in Embedded Systems. | Rupesh Raj Karn, Prithwish Basu Roy, Johann Knechtel, Ozgur Sinanoglu |
| 2024 | DAC | Order-Preserving Cryptography for the Confidential Inference in Random Forests: FPGA Design and Implementation. | Rupesh Raj Karn, Kashif Nawaz, Ibrahim Abe M. Elfadel |
| 2024 | ICMLC | Selective Forgetting in Task-Progressive Learning Through Machine Unlearning. | Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu |
| 2024 | ISCAS | Obfuscation of FSMs for Secure Outsourcing of Neural Network Inference onto FPGAs. | Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu |
| 2022 | FRUCT | Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation. | Manoj Joshi, Dibakar Raj Pant, Rupesh Raj Karn, Jukka Heikkonen, Rajeev Kumar Kanth |
| 2022 | FRUCT | 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 |
| 2022 | ISCAS | 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 |
| 2020 | ISCAS | Dynamically Generated Compact Neural Networks for Task Progressive Learning. | Rupesh Raj Karn, Prabhakar Kudva, Ibrahim Abe M. Elfadel |
| 2015 | ISCAS | Multicore power proxies using least-angle regression. | Rupesh Raj Karn, Ibrahim Abe M. Elfadel |