Sanket Shukla
Orcid: 0000-0002-1861-249X
According to our database1,
Sanket Shukla
authored at least 20 papers
between 2019 and 2024.
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Bibliography
2024
Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security.
CoRR, 2024
Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization.
CoRR, 2024
CoRR, 2024
Bring it On: Kinetic Energy Harvesting to Spark Machine Learning Computations in IoTs.
Proceedings of the 25th International Symposium on Quality Electronic Design, 2024
Energy Harvesting-Supported Efficient Low-Power ML Processing with Adaptive Checkpointing and Intermittent Computing.
Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024
Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024
Resource- and Workload-aware Malware Detection through Distributed Computing in IoT Networks.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024
2023
Resource- and Workload-Aware Model Parallelism-Inspired Novel Malware Detection for IoT Devices.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023
Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
2022
Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022
RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022
CAD-FSL: Code-Aware Data Generation based Few-Shot Learning for Efficient Malware Detection.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022
2021
A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images.
CoRR, 2021
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021
HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
On-device Malware Detection using Performance-Aware and Robust Collaborative Learning.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
2019
Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection.
Proceedings of the 2019 International Conference on Compliers, 2019