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Sanket Shukla
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2020 – today
- 2024
- [c13]Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Resource- and Workload-aware Malware Detection through Distributed Computing in IoT Networks. ASPDAC 2024: 368-373 - [c12]Sanket Shukla
, Sathwika Bavikadi
, Sai Manoj Pudukotai Dinakarrao
:
Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications. ACM Great Lakes Symposium on VLSI 2024: 633-638 - [c11]Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Bring it On: Kinetic Energy Harvesting to Spark Machine Learning Computations in IoTs. ISQED 2024: 1-6 - [i5]Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan, Avesta Sasan, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Generative AI-Based Effective Malware Detection for Embedded Computing Systems. CoRR abs/2404.02344 (2024) - [i4]Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization. CoRR abs/2404.08808 (2024) - [i3]Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao:
Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security. CoRR abs/2404.10012 (2024) - 2023
- [j1]Sreenitha Kasarapu
, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao
:
Resource- and Workload-Aware Model Parallelism-Inspired Novel Malware Detection for IoT Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4618-4628 (2023) - [c10]Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks. DATE 2023: 1-6 - 2022
- [c9]Sanket Shukla, Gaurav Kolhe, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D.:
RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks. ACM Great Lakes Symposium on VLSI 2022: 153-157 - [c8]Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan, Avesta Sasan, Houman Homayoun, Sai Manoj P. D.:
CAD-FSL: Code-Aware Data Generation based Few-Shot Learning for Efficient Malware Detection. ACM Great Lakes Symposium on VLSI 2022: 507-512 - [c7]Sanket Shukla, Abhijitt Dhavlle, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad:
Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics. ICCD 2022: 259-262 - [i2]Sanket Shukla:
Design of secure and robust cognitive system for malware detection. CoRR abs/2208.02310 (2022) - 2021
- [c6]Sanket Shukla, Sai Manoj P. D., Gaurav Kolhe, Setareh Rafatirad:
On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. DAC 2021: 967-972 - [c5]Abhijitt Dhavlle, Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection. DATE 2021: 1769-1774 - [c4]Siddharth Barve
, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao, Rashmi Jha:
Adversarial Attack Mitigation Approaches Using RRAM-Neuromorphic Architectures. ACM Great Lakes Symposium on VLSI 2021: 201-206 - [i1]Abhijitt Dhavlle, Sanket Shukla:
A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images. CoRR abs/2104.06652 (2021)
2010 – 2019
- 2019
- [c3]Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad:
MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection. CASES (work in progress) 2019: 1-2 - [c2]Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad:
RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. ICMLA 2019: 406-409 - [c1]Sanket Shukla, Gaurav Kolhe, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad:
Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. ICTAI 2019: 590-597
Coauthor Index
aka: Sai Manoj P. D.
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