Setareh Rafatirad
Orcid: 0000-0003-2035-8512Affiliations:
- George Mason University
According to our database1,
Setareh Rafatirad
authored at least 110 papers
between 2009 and 2023.
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Bibliography
2023
ACM Trans. Embed. Comput. Syst., 2023
IEEE Micro, 2023
HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion.
CoRR, 2023
Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization.
IEEE Access, 2023
HeteroScore: Evaluating and Mitigating Cloud Security Threats Brought by Heterogeneity.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023
Unleashing the Potential of Reinforcement Learning for Enhanced Personalized Education.
Proceedings of the IEEE Frontiers in Education Conference, 2023
Proceedings of the IEEE Frontiers in Education Conference, 2023
Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Emotion and Stress Recognition Utilizing Galvanic Skin Response and Wearable Technology: A Real-time Approach for Mental Health Care.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
ACM Trans. Design Autom. Electr. Syst., 2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
CoRR, 2022
Proceedings of the 20th IEEE Interregional NEWCAS Conference, 2022
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022
Accelerated Machine Learning for On-Device Hardware-Assisted Cybersecurity in Edge Platforms.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022
Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022
RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
ATLAS: An Adaptive Transfer Learning Based Pain Assessment System: A Real Life Unsupervised Pain Assessment Solution.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the IEEE Global Engineering Education Conference, 2022
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
LOCK&ROLL: deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Prevent Over-fitting and Redundancy in Physiological Signal Analyses for Stress Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Towards Generalized ML Model in Automated Physiological Arousal Computing: A Transfer Learning-Based Domain Generalization Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021
Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach.
Cryptogr., 2021
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021
Ontology-Driven Framework for Trend Analysis of Vulnerabilities and Impacts in IoT Hardware.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021
Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud.
Proceedings of the 2021 International Symposium on Secure and Private Execution Environment Design (SEED), 2021
Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021
Proceedings of the 39th IEEE International Conference on Computer Design, 2021
Proceedings of the ICC 2021, 2021
Energy-Efficient and Adversarially Robust Machine Learning with Selective Dynamic Band Filtering.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
On-device Malware Detection using Performance-Aware and Robust Collaborative Learning.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Securing Hardware via Dynamic Obfuscation Utilizing Reconfigurable Interconnect and Logic Blocks.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics.
IEEE Access, 2020
Semantic Convolutional Neural Network model for Safe Business Investment by Using BERT.
Proceedings of the Seventh International Conference on Social Networks Analysis, 2020
Using Transfer Learning Approach to Implement Convolutional Neural Network model to Recommend Airline Tickets by Using Online Reviews.
Proceedings of the 15th International Workshop on Semantic and Social Media Adaptation and Personalization, 2020
Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020
Bidirectional Transformer based on online Text-based information to Implement Convolutional Neural Network Model For Secure Business Investment.
Proceedings of the IEEE International Symposium on Technology and Society, 2020
Proceedings of the 21st International Symposium on Quality Electronic Design, 2020
Entropy-Shield: Side-Channel Entropy Maximization for Timing-based Side-Channel Attacks.
Proceedings of the 21st International Symposium on Quality Electronic Design, 2020
SCARF: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features.
Proceedings of the 26th IEEE International Symposium on On-Line Testing and Robust System Design, 2020
HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Phased-Guard: Multi-Phase Machine Learning Framework for Detection and Identification of Zero-Day Microarchitectural Side-Channel Attacks.
Proceedings of the 38th IEEE International Conference on Computer Design, 2020
Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
2019
J. Parallel Distributed Comput., 2019
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design.
CoRR, 2019
CoRR, 2019
Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the 48th International Conference on Parallel Processing, 2019
A+ Tuning: Architecture+Application Auto-Tuning for In-Memory Data-Processing Frameworks.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Security and Complexity Analysis of LUT-based Obfuscation: From Blueprint to Reality.
Proceedings of the International Conference on Computer-Aided Design, 2019
Mitigating the Performance and Quality of Parallelized Compressive Sensing Reconstruction Using Image Stitching.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design.
Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019
2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection.
Proceedings of the 2019 International Conference on Compliers, 2019
Proceedings of the 2019 International Conference on Compliers, 2019
Sequence-Crafter: Side-Channel Entropy Minimization to Thwart Timing-based Side-Channel Attacks.
Proceedings of the 2019 International Conference on Compliers, 2019
XPPE: cross-platform performance estimation of hardware accelerators using machine learning.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
2018
System and Architecture Level Characterization of Big Data Applications on Big and Little Core Server Architectures.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018
ACM Trans. Design Autom. Electr. Syst., 2018
ACM Trans. Design Autom. Electr. Syst., 2018
IEEE Trans. Multi Scale Comput. Syst., 2018
Hadoop Workloads Characterization for Performance and Energy Efficiency Optimizations on Microservers.
IEEE Trans. Multi Scale Comput. Syst., 2018
J. Parallel Distributed Comput., 2018
Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices.
Proceedings of the 17th IEEE International Conference On Trust, 2018
Architectural considerations for FPGA acceleration of machine learning applications in MapReduce.
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, 2018
A comprehensive memory analysis of data intensive workloads on server class architecture.
Proceedings of the International Symposium on Memory Systems, 2018
Efficient utilization of adversarial training towards robust machine learners and its analysis.
Proceedings of the International Conference on Computer-Aided Design, 2018
Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce.
Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018
Ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification.
Proceedings of the 55th Annual Design Automation Conference, 2018
Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud.
Proceedings of the ACM Symposium on Cloud Computing, 2018
Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018
Proceedings of the International Conference on Compilers, 2018
Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads.
Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018
2017
Understanding the role of memory subsystem on performance and energy-efficiency of Hadoop applications.
Proceedings of the Eighth International Green and Sustainable Computing Conference, 2017
2016
Characterizing Hadoop applications on microservers for performance and energy efficiency optimizations.
Proceedings of the 2016 IEEE International Symposium on Performance Analysis of Systems and Software, 2016
Big biomedical image processing hardware acceleration: A case study for K-means and image filtering.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
2015
System and architecture level characterization of big data applications on big and little core server architectures.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2013
Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, 2013
Proceedings of the Eighth Conference on Semantic Technologies for Intelligence, 2013
Proceedings of the 2013 IEEE Seventh International Conference on Semantic Computing, 2013
2011
Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), 2011
2009
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009
Proceedings of the 1st ACM international workshop on Events in multimedia, 2009