Sanket Shukla - RankMe

20 papers A* 1A 3B 2C 2Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Bring it On: Kinetic Energy Harvesting to Spark Machine Learning Computations in IoTs. ISQED Sanket Shukla, Sai Manoj Pudukotai Dinakarrao
2024	A	`conf`	Energy Harvesting-Supported Efficient Low-Power ML Processing with Adaptive Checkpointing and Intermittent Computing. ISLPED Sanket Shukla, Sai Manoj Pudukotai Dinakarrao
2024	—	`conf`	Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications. ACM Great Lakes Symposium on VLSI Sanket Shukla, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao
2024	J	`jnl`	Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization. CoRR Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao
2024	J	`jnl`	Generative AI-Based Effective Malware Detection for Embedded Computing Systems. CoRR Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan, Avesta Sasan, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
2024	J	`jnl`	Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security. CoRR Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao
2024	B	`conf`	Resource- and Workload-aware Malware Detection through Distributed Computing in IoT Networks. ASPDAC Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao
2023	A	`conf`	Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks. DATE Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
2023	J	`jnl`	Resource- and Workload-Aware Model Parallelism-Inspired Novel Malware Detection for IoT Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao
2022	—	`conf`	CAD-FSL: Code-Aware Data Generation based Few-Shot Learning for Efficient Malware Detection. ACM Great Lakes Symposium on VLSI Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan, Avesta Sasan, Houman Homayoun, Sai Manoj P. D.
2022	J	`jnl`	Design of secure and robust cognitive system for malware detection. CoRR Sanket Shukla
2022	C	`conf`	Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics. ICCD Sanket Shukla, Abhijitt Dhavlle, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad
2022	—	`conf`	RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks. ACM Great Lakes Symposium on VLSI Sanket Shukla, Gaurav Kolhe, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D.
2021	J	`jnl`	A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images. CoRR Abhijitt Dhavlle, Sanket Shukla
2021	—	`conf`	Adversarial Attack Mitigation Approaches Using RRAM-Neuromorphic Architectures. ACM Great Lakes Symposium on VLSI Siddharth Barve, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao, Rashmi Jha
2021	A	`conf`	HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection. DATE Abhijitt Dhavlle, Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
2021	A*	`conf`	On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. DAC Sanket Shukla, Sai Manoj P. D., Gaurav Kolhe, Setareh Rafatirad
2019	—	`conf`	MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection. CASES (work in progress) Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad
2019	C	`conf`	RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. ICMLA Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad
2019	B	`conf`	Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. ICTAI Sanket Shukla, Gaurav Kolhe, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad