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Setareh Rafatirad
Setareh Rafatirad
Associate Professor, Computer Science Department, University of California Davis
在 ucdavis.edu 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Ensemble learning for effective run-time hardware-based malware detection: A comprehensive analysis and classification
H Sayadi, N Patel, A Sasan, S Rafatirad, H Homayoun
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
1922018
Pyramid: Machine learning framework to estimate the optimal timing and resource usage of a high-level synthesis design
HM Makrani, F Farahmand, H Sayadi, S Bondi, SMP Dinakarrao, ...
2019 29th International Conference on Field Programmable Logic and …, 2019
912019
Semantic convolutional neural network model for safe business investment by using bert
M Heidari, S Rafatirad
2020 Seventh International Conference on social networks analysis …, 2020
892020
Using transfer learning approach to implement convolutional neural network model to recommend airline tickets by using online reviews
M Heidari, S Rafatirad
2020 15th International Workshop on Semantic and Social Media Adaptation and …, 2020
892020
2smart: A two-stage machine learning-based approach for run-time specialized hardware-assisted malware detection
H Sayadi, HM Makrani, SMP Dinakarrao, T Mohsenin, A Sasan, ...
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 728-733, 2019
862019
Ensemble of supervised and unsupervised learning models to predict a profitable business decision
M Heidari, S Zad, S Rafatirad
2021 IEEE International IOT, Electronics and Mechatronics Conference …, 2021
782021
Lightweight node-level malware detection and network-level malware confinement in iot networks
SMP Dinakarrao, H Sayadi, HM Makrani, C Nowzari, S Rafatirad, ...
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 776-781, 2019
752019
Bidirectional transformer based on online text-based information to implement convolutional neural network model for secure business investment
M Heidari, S Rafatirad
2020 IEEE International Symposium on Technology and Society (ISTAS), 322-329, 2020
742020
Customized machine learning-based hardware-assisted malware detection in embedded devices
H Sayadi, HM Makrani, O Randive, SM PD, S Rafatirad, H Homayoun
2018 17th IEEE International Conference On Trust, Security And Privacy In …, 2018
702018
Ontology creation model based on attention mechanism for a specific business domain
M Heidari, S Zad, B Berlin, S Rafatirad
2021 IEEE International IOT, Electronics and Mechatronics Conference …, 2021
672021
Adversarial attack on microarchitectural events based malware detectors
SMP Dinakarrao, S Amberkar, S Bhat, A Dhavlle, H Sayadi, A Sasan, ...
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
632019
Security and Complexity Analysis of LUT-based Obfuscation: From Blueprint to Reality
G Kolhe, HM Kamali, M Naicker, TD Sheaves, H Mahmoodi, SM P D, ...
ACM/IEEE International Conference on Computer-Aided Design (ICCAD), 2019
582019
Xppe: cross-platform performance estimation of hardware accelerators using machine learning
HM Makrani, H Sayadi, T Mohsenin, S Rafatirad, A Sasan, H Homayoun
Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019
542019
Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning
H Sayadi, A Houmansadr, S Rafatirad, H Homayoun
Proceedings of the 15th ACM International Conference on Computing Frontiers …, 2018
462018
RNN-based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence
S Shukla, G Kolhe, SMP Dinakarrao, S Rafatirad
ICMLA, 2019
432019
System and Architecture Level Characterization of Big Data Applications on Big and Little Core Server Architectures
M Malik, S Rafatirad, H Homayoun
IEEE BigData Conference, 2015
422015
Scarf: Detecting side-channel attacks at real-time using low-level hardware features
H Wang, H Sayadi, S Rafatirad, A Sasan, H Homayoun
2020 IEEE 26th International Symposium on On-Line Testing and Robust System …, 2020
412020
On-device malware detection using performance-aware and robust collaborative learning
S Shukla, PDS Manoj, G Kolhe, S Rafatirad
2021 58th ACM/IEEE Design Automation Conference (DAC), 967-972, 2021
392021
On custom LUT-based obfuscation
G Kolhe, SM PD, S Rafatirad, H Mahmoodi, A Sasan, H Homayoun
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 477-482, 2019
382019
Stealthy Malware Detection using RNN-based Automated Localized Feature Extraction and Classifier
S Shukla, G Kolhe, SMP Dinakarrao, S Rafatirad
International Conference on Tools and Artificial Intelligence. ICTAI 2019, 2019
372019
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