Hossein Sayadi
Orcid: 0000-0001-6423-0145
According to our database1,
Hossein Sayadi
authored at least 52 papers
between 2014 and 2023.
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Bibliography
2023
IEEE Micro, 2023
Machine Learning in Chaos-Based Encryption: Theory, Implementations, and Applications.
IEEE Access, 2023
Proceedings of the 24th International Symposium on Quality Electronic Design, 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
Cyber-Immunity at the Core: Securing Biomedical Devices through Hardware-Level Machine Learning Defense.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
Accelerated Machine Learning for On-Device Hardware-Assisted Cybersecurity in Edge Platforms.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Proceedings of the 28th IEEE International Symposium on On-Line Testing and Robust System 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
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2022
Deep Neural Network and Transfer Learning for Accurate Hardware-Based Zero-Day Malware Detection.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022
Distributed Logic Encryption: Essential Security Requirements and Low-Overhead Implementation.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022
Proceedings of the IEEE Global Engineering Education Conference, 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
Security Threats in Cloud Rooted from Machine Learning-Based Resource Provisioning Systems.
Proceedings of the Silicon Valley Cybersecurity Conference - Second Conference, 2021
Proceedings of the Silicon Valley Cybersecurity Conference - Second Conference, 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
When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021
Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events.
Proceedings of the 27th IEEE International Symposium on On-Line Testing and Robust System Design, 2021
Proceedings of the 39th IEEE International Conference on Computer Design, 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
2020
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics.
IEEE Access, 2020
Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 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
2019
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design.
CoRR, 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
XPPE: cross-platform performance estimation of hardware accelerators using machine learning.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
2018
Energy-Efficiency Prediction of Multithreaded Workloads on Heterogeneous Composite Cores Architectures using Machine Learning Techniques.
CoRR, 2018
Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices.
Proceedings of the 17th IEEE International Conference On Trust, 2018
A comprehensive memory analysis of data intensive workloads on server class architecture.
Proceedings of the International Symposium on Memory Systems, 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 International Conference on Compilers, 2018
Power conversion efficiency-aware mapping of multithreaded applications on heterogeneous architectures: A comprehensive parameter tuning.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 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
Machine Learning-Based Approaches for Energy-Efficiency Prediction and Scheduling in Composite Cores Architectures.
Proceedings of the 2017 IEEE International Conference on Computer Design, 2017
Scheduling multithreaded applications onto heterogeneous composite cores architecture.
Proceedings of the Eighth International Green and Sustainable Computing Conference, 2017
2014
A data recomputation approach for reliability improvement of scratchpad memory in embedded systems.
Proceedings of the 2014 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2014