| Rnn-based classifier to detect stealthy malware using localized features and complex symbolic sequence S Shukla, G Kolhe, SM PD, S Rafatirad 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 46 | 2019 |
| On-device malware detection using performance-aware and robust collaborative learning S Shukla, PDS Manoj, G Kolhe, S Rafatirad 2021 58th ACM/IEEE Design Automation Conference (DAC), 967-972, 2021 | 43 | 2021 |
| Stealthy malware detection using rnn-based automated localized feature extraction and classifier S Shukla, G Kolhe, SM PD, S Rafatirad 2019 IEEE 31st international conference on tools with artificial …, 2019 | 41 | 2019 |
| Hmd-hardener: Adversarially robust and efficient hardware-assisted runtime malware detection A Dhavlle, S Shukla, S Rafatirad, H Homayoun, SMP Dinakarrao 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021 | 21 | 2021 |
| Cad-fsl: Code-aware data generation based few-shot learning for efficient malware detection S Kasarapu, S Shukla, R Hassan, A Sasan, H Homayoun, SM PD Proceedings of the Great Lakes Symposium on VLSI 2022, 507-512, 2022 | 17 | 2022 |
| Microarchitectural events and image processing-based hybrid approach for robust malware detection: Work-in-progress S Shukla, G Kolhe, S Rafatirad Proceedings of the International Conference on Compliers, Architectures and …, 2019 | 16 | 2019 |
| Rafel-robust and data-aware federated learning-inspired malware detection in internet-of-things (iot) networks S Shukla, G Kolhe, H Homayoun, S Rafatirad, SM PD Proceedings of the Great Lakes Symposium on VLSI 2022, 153-157, 2022 | 13 | 2022 |
| Adversarial attack mitigation approaches using RRAM-neuromorphic architectures S Barve, S Shukla, SMP Dinakarrao, R Jha Proceedings of the 2021 Great Lakes Symposium on VLSI, 201-206, 2021 | 13 | 2021 |
| Work-in-progress: Microarchitectural events and image processing-based hybrid approach for robust malware detection S Shukla, G Kolhe, PDS Manoj, S Rafatirad 2019 International Conference on Compliers, Architectures and Synthesis for …, 2019 | 10 | 2019 |
| Resource-and workload-aware model parallelism-inspired novel malware detection for iot devices S Kasarapu, S Shukla, SMP Dinakarrao IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023 | 8 | 2023 |
| Federated learning with heterogeneous models for on-device malware detection in iot networks S Shukla, S Rafatirad, H Homayoun, SMP Dinakarrao 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 8 | 2023 |
| Iron-dome: Securing iot networked systems at runtime by network and device characteristics to confine malware epidemics S Shukla, A Dhavlle, SM PD, H Homayoun, S Rafatirad 2022 IEEE 40th International Conference on Computer Design (ICCD), 259-262, 2022 | 7 | 2022 |
| UBOL: User-Behavior-aware one-shot learning for safe autonomous driving S Shukla, S Kasarapu, R Hasan, SM PD, H Shen 2022 Fifth International Conference on Connected and Autonomous Driving …, 2022 | 7 | 2022 |
| A novel malware detection mechanism based on features extracted from converted malware binary images A Dhavlle, S Shukla arXiv preprint arXiv:2104.06652, 2021 | 6 | 2021 |
| Bring it on: Kinetic energy harvesting to spark machine learning computations in iots S Shukla, SMP Dinakarrao 2024 25th International Symposium on Quality Electronic Design (ISQED), 1-6, 2024 | 5 | 2024 |
| Resource-and workload-aware malware detection through distributed computing in iot networks S Kasarapu, S Shukla, SMP Dinakarrao 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 368-373, 2024 | 4 | 2024 |
| Design of secure and robust cognitive system for malware detection S Shukla arXiv preprint arXiv:2208.02310, 2022 | 4 | 2022 |
| Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization S Kasarapu, S Shukla, SMP Dinakarrao arXiv preprint arXiv:2404.08808, 2024 | 2 | 2024 |
| Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications S Shukla, S Bavikadi, SM Pudukotai Dinakarrao Proceedings of the Great Lakes Symposium on VLSI 2024, 633-638, 2024 | 1 | 2024 |
| Energy Harvesting-Supported Efficient Low-Power ML Processing with Adaptive Checkpointing and Intermittent Computing S Shukla, SM Pudukotai Dinakarrao Proceedings of the 29th ACM/IEEE International Symposium on Low Power …, 2024 | | 2024 |
Setareh RafatiradAssociate Professor, Computer Science Department, University of California Davis在 ucdavis.edu 的电子邮件经过验证
