Sanket Shukla

According to our database, Sanket Shukla authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2023

Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks.

Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Design of secure and robust cognitive system for malware detection.

Sanket Shukla

CoRR, 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

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.

Sanket Shukla, Gaurav Kolhe, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D.

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.

Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan, Avesta Sasan, Houman Homayoun, Sai Manoj P. D.

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.

Abhijitt Dhavlle, Sanket Shukla

CoRR, 2021

Adversarial Attack Mitigation Approaches Using RRAM-Neuromorphic Architectures.

Siddharth Barve, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao, Rashmi Jha

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection.

Abhijitt Dhavlle, Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

On-device Malware Detection using Performance-Aware and Robust Collaborative Learning.

Sanket Shukla, Sai Manoj P. D., Gaurav Kolhe, Setareh Rafatirad

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2019

Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier.

Sanket Shukla, Gaurav Kolhe, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad

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.

Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad

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.

Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad

Proceedings of the 2019 International Conference on Compliers, 2019