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Sanket Shukla
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 19
Top Topics
Malware Detection
Malicious Executables
Distributed Computing
E Learning
Top Venues
CoRR
ACM Great Lakes Symposium on VLSI
DATE
ISQED
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Publications
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Sreenitha Kasarapu
,
Sanket Shukla
,
Sai Manoj Pudukotai Dinakarrao
Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security.
CoRR
(2024)
Sreenitha Kasarapu
,
Sanket Shukla
,
Sai Manoj Pudukotai Dinakarrao
Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization.
CoRR
(2024)
Sreenitha Kasarapu
,
Sanket Shukla
,
Sai Manoj Pudukotai Dinakarrao
Resource- and Workload-aware Malware Detection through Distributed Computing in IoT Networks.
ASPDAC
(2024)
Sanket Shukla
,
Sai Manoj Pudukotai Dinakarrao
Bring it On: Kinetic Energy Harvesting to Spark Machine Learning Computations in IoTs.
ISQED
(2024)
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
(2024)
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)
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)
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) (2023)
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)
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)
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)
Sanket Shukla
Design of secure and robust cognitive system for malware detection.
CoRR
(2022)
Sanket Shukla
,
Sai Manoj P. D.
,
Gaurav Kolhe
,
Setareh Rafatirad
On-device Malware Detection using Performance-Aware and Robust Collaborative Learning.
DAC
(2021)
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)
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)
Abhijitt Dhavlle
,
Sanket Shukla
A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images.
CoRR
(2021)
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)
Sanket Shukla
,
Gaurav Kolhe
,
Sai Manoj Pudukotai Dinakarrao
,
Setareh Rafatirad
Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier.
ICTAI
(2019)
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)