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2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection.

H. Sayadi, H. Makrani, S. Dinakarrao, T. Mohsenin, A. Sasan, S. Rafatirad, and H. Homayoun. DATE, page 728-733. IEEE, (2019)

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Energy-Efficiency Prediction of Multithreaded Workloads on Heterogeneous Composite Cores Architectures using Machine Learning Techniques.H. Sayadi. CoRR, (2018)A data recomputation approach for reliability improvement of scratchpad memory in embedded systems.H. Sayadi, H. Farbeh, A. Monazzah, and S. Miremadi. DFT, page 228-233. IEEE Computer Society, (2014)Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design.H. Makrani, F. Farahmand, H. Sayadi, S. Bondi, S. Dinakarrao, L. Zhao, A. Sasan, H. Homayoun, and S. Rafatirad. CoRR, (2019)Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning.H. Sayadi, S. D., A. Houmansadr, S. Rafatirad, and H. Homayoun. CF, page 212-215. ACM, (2018)Advances and throwbacks in hardware-assisted security: special session.F. Brasser, L. Davi, A. Dhavlle, T. Frassetto, S. Dinakarrao, S. Rafatirad, A. Sadeghi, A. Sasan, H. Sayadi, S. Zeitouni and 1 other author(s). CASES, page 15:1-15:10. ACM, (2018)XPPE: cross-platform performance estimation of hardware accelerators using machine learning.H. Makrani, H. Sayadi, T. Mohsenin, S. Rafatirad, A. Sasan, and H. Homayoun. ASP-DAC, page 727-732. ACM, (2019)Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks.S. Dinakarrao, H. Sayadi, H. Makrani, C. Nowzari, S. Rafatirad, and H. Homayoun. DATE, page 776-781. IEEE, (2019)2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection.H. Sayadi, H. Makrani, S. Dinakarrao, T. Mohsenin, A. Sasan, S. Rafatirad, and H. Homayoun. DATE, page 728-733. IEEE, (2019)Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads.H. Makrani, H. Sayadi, S. D., S. Rafatirad, and H. Homayoun. ASAP, page 1-8. IEEE Computer Society, (2018)Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud.H. Makrani, H. Sayadi, D. Motwani, H. Wang, S. Rafatirad, and H. Homayoun. SoCC, page 517. ACM, (2018)

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2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML 2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection.

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2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection.