MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection. - Sanket Shukla; Gaurav Kolhe; Sai Manoj P. D.; Setareh Rafatirad (CASES (work in progress), 2019)

RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. - Sanket Shukla; Gaurav Kolhe; Sai Manoj P. D.; Setareh Rafatirad (ICMLA, 2019)

Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. - Sanket Shukla; Gaurav Kolhe; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad (ICTAI, 2019)

On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. - Sanket Shukla; Sai Manoj P. D.; Gaurav Kolhe; Setareh Rafatirad (DAC, 2021)

HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection. - Abhijitt Dhavlle; Sanket Shukla; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (DATE, 2021)

Adversarial Attack Mitigation Approaches Using RRAM-Neuromorphic Architectures. - Siddharth Barve; Sanket Shukla; Sai Manoj Pudukotai Dinakarrao; Rashmi Jha (ACM Great Lakes Symposium on VLSI, 2021)

A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images. - Abhijitt Dhavlle; Sanket Shukla (CoRR, 2021)

CAD-FSL: Code-Aware Data Generation based Few-Shot Learning for Efficient Malware Detection. - Sreenitha Kasarapu; Sanket Shukla; Rakibul Hassan; Avesta Sasan; Houman Homayoun; Sai Manoj P. D. (ACM Great Lakes Symposium on VLSI, 2022)

RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks. - Sanket Shukla; Gaurav Kolhe; Houman Homayoun; Setareh Rafatirad; Sai Manoj P. D. (ACM Great Lakes Symposium on VLSI, 2022)

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 (ICCD, 2022)

Design of secure and robust cognitive system for malware detection. - Sanket Shukla (CoRR, 2022)

Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks. - Sanket Shukla; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (DATE, 2023)

Resource- and Workload-Aware Model Parallelism-Inspired Novel Malware Detection for IoT Devices. - Sreenitha Kasarapu; Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Resource- and Workload-aware Malware Detection through Distributed Computing in IoT Networks. - Sreenitha Kasarapu; Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (ASPDAC, 2024)

Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications. - Sanket Shukla; Sathwika Bavikadi; Sai Manoj Pudukotai Dinakarrao (ACM Great Lakes Symposium on VLSI, 2024)

Energy Harvesting-Supported Efficient Low-Power ML Processing with Adaptive Checkpointing and Intermittent Computing. - Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (ISLPED, 2024)

Bring it On: Kinetic Energy Harvesting to Spark Machine Learning Computations in IoTs. - Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (ISQED, 2024)

Generative AI-Based Effective Malware Detection for Embedded Computing Systems. - Sreenitha Kasarapu; Sanket Shukla; Rakibul Hassan; Avesta Sasan; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (CoRR, 2024)

Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization. - Sreenitha Kasarapu; Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (CoRR, 2024)

Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security. - Sreenitha Kasarapu; Sanket Shukla; Sai Manoj Pudukotai Dinakarrao (CoRR, 2024)