| 2024 | ASPDAC | Resource- and Workload-aware Malware Detection through Distributed Computing in IoT Networks. | Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao |
| 2024 | ISLPED | Energy Harvesting-Supported Efficient Low-Power ML Processing with Adaptive Checkpointing and Intermittent Computing. | Sanket Shukla, Sai Manoj Pudukotai Dinakarrao |
| 2023 | DATE | Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks. | Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao |
| 2022 | ICCD | Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics. | Sanket Shukla, Abhijitt Dhavlle, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad |
| 2021 | DAC | On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. | Sanket Shukla, Sai Manoj P. D., Gaurav Kolhe, Setareh Rafatirad |
| 2021 | DATE | HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection. | Abhijitt Dhavlle, Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao |
| 2019 | CASES | MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection. | Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad |
| 2019 | ICMLA | RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. | Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad |
| 2019 | ICTAI | Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. | Sanket Shukla, Gaurav Kolhe, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad |