2025:

(72) - [ISCAS]: Zhangying He, H. Sayadi, “PowerPrint: Harnessing Machine Learning for Accurate and Efficient PC Fingerprinting via Power Consumption Analysis”, in 76th IEEE International Symposium on Circuits and Systems (ISCAS), London, UK, 2025. (Accepted, to appear)

(71) - [DATE]:  Z. He and H. Sayadi, “REACT: Randomized Encryption with AI-Controlled Targeting for Next-Gen Secure Communication”, in 2025 IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), Lyon, France, 2025. (Accepted, to appear)

2024:

(70) - [DAC]:  Z. He, H. Homayoun, and H. Sayadi, “Beyond Conventional Defenses: Proactive and Adversarial-Resilient Hardware Malware Detection using Deep Reinforcement Learning”, in Proceedings of ACM/IEEE Design Automation Conference (DAC), San Francisco, 2024. (Acceptance Rate: 23%)

(69) - [DAC]: N. Nazari, Ch. Fang, H. M. Makrani, B. Omidi, M Eslamimehr, S. Rafatirad, A. Sasan, H. Sayadi, Kh. N. Khasawneh and H. Homayoun, “Architectural Whispers: Robust Machine Learning Models Fingerprinting via Frequency Throttling Side-Channels”, in Proceedings of ACM/IEEE Design Automation Conference (DAC), San Francisco, 2024. (Acceptance Rate: 23%)

(68) - [USENIX]: N. Nazari, H. M. Makrani, Ch. Fang, H. Sayadi, S. Rafatirad, K. N. Khasawneh, and H. Homayoun, “Forget and Rewire: Enhancing the Resilience of Transformer-based Models against Bit-Flip Attacks”, in Proceedings of 33rd USENIX Security Symposium (USENIX Security 24), pp. 1349-1366. 2024. (Acceptance Rate: 18%)

(67) - [IEEE Access]:  B. Saber L, N. Nazari, M. Alam, E. Hosseini, H. Sayadi, H. Homayoun, S. Salehi, and A. Sasan, “Transformers: A Security Perspective”, in IEEE Access, vol. 12, pp. 181071-181105, 2024. 

(66) - [JHSS]:  Z. He, H. Homayoun, and H. Sayadi, “Guarding Against the Unknown: Deep Transfer Learning for Hardware Image-Based Malware Detection”, in Journal of Hardware and Systems Security (JHSS), Springer, pp. 1-18, 2024.

(65) - [DATE]: Z. He, Ch. W. Fernandes, and H. Sayadi, “ObfusGate: Representation Learning-Based Gatekeeper for Hardware-Level Obfuscated Malware Detection”, in Proceedings of 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), Valencia, Spain, 2024.

(64) - [IEEE FIE]: T. Nguyen and H. Sayadi, “ChatGPT vs. Gemini: Comparative Evaluation in Cybersecurity Education with Prompt Engineering Impact”, in Proceedings of IEEE ASEE Frontiers in Education Conference (FIE), pp. 1-9, Washington DC, USA, October 2024. 

(63) - [EDUCON]: Z. He, T. Nguyen, T. Miari, M. Aliasgari, S. Rafatirad, and H. Sayadi, “The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering”, in Proceedings of 2024 IEEE Global Engineering Education Conference (EDUCON), Greece, 2024. 

(62) - [ISCAS]: H. Sayadi, Zhangying He, Tahereh Miari, and Mehrdad Aliasgari, “Redefining Trust: Assessing Reliability of Machine Learning Algorithms in Intrusion Detection Systems”, in Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, Singapore, 2024. 

(62) - [ISQED]: N. Nazari, H. Makrani, H. Sayadi, S. Rafatirad, and H. Homayoun, “Large Language Models Fingerprinting using Memory Usage Prediction on Edge Devices”, to appear in IEEE International Symposium on Quality Electronic Design (ISQED), San Francisco, USA, 2024.

(61) - [ISQED]: Z. He, Ch. W. Fernandes, H. Sayadi, “Enhanced Performance-Aware Defense against Malware Obfuscation via Feature Representation Learning”, to appear in IEEE International Symposium on Quality Electronic Design (ISQED), San Francisco, USA, 2024.

2023:

(60) - [IEEE Access]: J. Hwang, G. Kale, P. Patel, R. Vishwakarma, M. Aliasgari, A. Hedayatipour, A. Rezaei, and H. Sayadi, “Machine Learning in Chaos-based Encryption: Theory, Implementations, and Applications”, in IEEE Access, 11, pp. 125749-125767, 2023. (Impact Factor: 3.9)

(59) - [IEEE BioCAS]: H. Sayadi, Z. He, C. W. Fernandes, and T. Miari, “Cyber-Immunity at the Core: Securing Biomedical Devices Through Hardware-Level Machine Learning Defense,” in Proceedings of IEEE Biomedical Circuits and Systems (BioCAS), Toronto, Canada, October 2023.

(58) - [IEEE FIE]: C. W. Fernandes, S. Rafatirad and H. Sayadi, “Unleashing the Potential of Reinforcement Learning for Enhanced Personalized Education,” in Proceedings of IEEE ASEE Frontiers in Education Conference (FIE), Texas, USA, October 2023. 

(57) - [IEEE FIE]: B. Baird, N. Radesh, S. Rafatirad and H. Sayadi, “Towards Race and Gender Equity in Data Science Education,” in Proceedings of IEEE ASEE Frontiers in Education Conference (FIE), Texas, USA, October 2023. 

(56) - [IEEE Micro]: N. Nazari, H. M. Makrani, C. Fang, B. Omidi, S. Rafatirad, H. Sayadi, K. N. Khasawneh, and H. Homayoun. “Adversarial Attacks against Machine Learning-based Resource Provisioning Systems,” in IEEE Micro, vol. 43, no. 5, pp. 35-44, 2023. (Impact Factor: 3.6)

(55) - [EAEEIE]: C. W. Fernandes, S. Rafatirad and H. Sayadi, “Advancing Personalized and Adaptive Learning Experience in Education with Artificial Intelligence,” in Proceedings of 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE), pp. 1-6, Eindhoven, Netherlands, 2023.

(54) - [ISQED]: Z. He and H. Sayadi, “"Image-Based Zero-Day Malware Detection in IoMT Devices: A Hybrid AI-Enabled Method," in Proceedings of IEEE 24th International Symposium on Quality Electronic Design (ISQED), pp. 1-8, San Francisco, CA, USA, 2023.

(53) - [ISQED]: R. Vishwakarma, R. Monani, A. Rezaei, H. Sayadi, M. Aliasgari and A. Hedayatipour, "Attacks on Continuous Chaos Communication and Remedies for Resource Limited Devices,” in Proceedings of IEEE 24th International Symposium on Quality Electronic Design (ISQED), pp. 1-8, San Francisco, CA, USA, 2023.

2022:

(52) - [ICCD]:  Z. He, H. M. Makrani, S. Rafatirad, H. Homayoun, and H. Sayadi, “Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach”, in Proceedings of 40th IEEE International Conference on Computer Design (ICCD), pp. 1-8, 2022. 

(51) - [IOLTS]:  H. Sayadi, M. Aliasgari, F. Aydin, S. Potluri, A. Aysu, J. Edmonds, S. Tehranipoor, “Towards AI-Enabled Hardware Security: Challenges and Opportunities”, in Proceedings of 28th IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), pp. 1-10, 2022.

(50) - [HOST]: A. Rezaei, A. Hedayatipour, H. Sayadi, M. Aliasgari, and H. Zhou, “Global Attack and Remedy on IC-Specific Logic Encryption”, in Proceedings of IEEE International Symposium on Hardware Oriented Security and Trust (HOST), pp. 145-148, 2022. 

(49) - [GLSVLSI]: Z. He, A. Rezaei, H. Homayoun, and H. Sayadi, “Deep Neural Network and Transfer Learning for Accurate Hardware-Based Zero-Day Malware Detection”, in Proceedings of Great Lakes Symposium on VLSI (GLSVLSI), pp. 27-32, 2022. 

(48) - [GLSVLSI]: R. Afsharmazayejani, H. Sayadi, and A. Rezaei, “Distributed Logic Encryption: Essential Security Requirements and Low-Overhead Implementation”, in Proceedings of Great Lakes Symposium on VLSI (GLSVLSI), pp. 127-131, 2022. 

(47) - [DAC]: Z. He, H. M. Makrani, S. Rafatirad, H. Homayoun, and H. Sayadi, “Reinforcement Learning for Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection”, in (Work-in-Progress Sessions) ACM/IEEE Design Automation Conference (DAC), San Francisco, 2022. 

(46) - [ICRERA]: K. Gubbi, H. Wang, H. Sayadi, and H. Homayoun, “Machine Learning based Malware Detection for Secure Smart Grids”, in International Conference on Renewable Energy Research and Applications (ICRERA), pp. 330-334 2022. 

(45) - [ISQED]: H. Makrani, Z. He, S. Rafatirad, and H. Sayadi, “Accelerated Machine Learning for On-Device Hardware-Assisted Cybersecurity in Edge Platforms” in Proceedings of 23rd International Symposium on Quality Electronic Design (ISQED), 2022. 

(44) - [EDUCON]: W. Chung, H. Sayadi, and S. Rafatirad, “Machine Learning to the Rescue: ML-Assisted Framework for Equity-Driven Education” in Proceedings of 13th IEEE Global Engineering Education Conference (EDUCON), 2022. 

2021:

(43) - [JETCAS]: H. Wang, H. Sayadi, A. Sasan, S. Manoj P D, S. Rafatirad, and H. Homayoun “Enabling Micro AI for Securing Edge Devices at Hardware Level”, in IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2021. 

(42) - [ICCD]: N. Nazari, H. Makrani, H. Sayadi, L. Landis, S. Rafatirad, H. Homayoun, “HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures”, in 39th IEEE International Conference on Computer Design (ICCD), 2021. 

(41) - [SEED]: H. Makrani, H. Sayadi, S. Rafatirad, H. Homayoun, “Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud”, in Proceedings of 2021 IEEE International Symposium on Secure and Private Execution Environment Design (SEED), 2021.

(40) - [Cryptography]: H. Sayadi, Y Gao, H. Makrani, P. Costa, J. Lin, S. Rafatirad, and H. Homayoun “Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, Yet Effective Time Series CNN-based Approach” in MDPI Journal of Cryptography, 2021.

(39) - [AICAS]: H. Wang, S. Salehi, H. Sayadi, A. Sasan, T. Mohsenin, S. Manoj P D, S. Rafatirad, and H. Homayoun, “Adaptive Performance Modeling of Data-Intensive Workloads for Resource Provisioning in Virtualized Environment”, in Proceedings of IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021.

(38) - [IOLTS]: Y. Gao, H. M. Makrani, M. Aliasgari, A. Rezaei, J. Lin, H. Homayoun, and H. Sayadi, “Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events”, in Proceedings of 27th IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), 2021.

(37) - [TOMPECS]: H. Makrani, H. Sayadi, N. Nazari, S. Manoj P D, A. Sasan, T. Mohsenin, S. Rafatirad, and H. Homayoun, “Adaptive Performance Modeling of Data-Intensive Workloads for Resource Provisioning in Virtualized Environment”, in ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2021. 

(36) - [ISQED]: Z. He, T. Miari, H. M. Makrani, M. Aliasgari, H. Homayoun, and H. Sayadi, “When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection” in Proceedings of 22nd International Symposium on Quality Electronic Design (ISQED), 2021. 

(35) - [ISQED]: H. Wang, H. Sayadi, A. Sasan, S. Manoj P D, S. Rafatirad, and H. Homayoun, “Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization” in Proceedings of 22nd International Symposium on Quality Electronic Design (ISQED), 2021. 

(34) - [SVCC]: A. Hedayatipour, R. Monani, A. Rezaei, M. Aliasgari, and H. Sayadi, “A Comprehensive Analysis of Chaos-based Secure Systems” in Proceedings of Springer Communications in Computer and Information Science (CCIS), Silicon Valley Cybersecurity Conference (SVCC), 2021.

(33) - [SVCC]: H. Makrani, H. Sayadi, N. Nazari, and H. Homayoun, “Security Threats in Cloud Rooted from Machine Learning-based Resource Provisioning Systems” in Proceedings of Springer Communications in Computer and Information Science (CCIS), Silicon Valley Cybersecurity Conference (SVCC), 2021.

2020: 

(32) - [ICCAD]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks”, in Proceedings of 39th IEEE/ACM International Conference On Computer Aided Design (ICCAD’20), 2020.

(31) - [DATE]: H. Wang, H. Sayadi, T. Mohsenin, L. Zhao, A. Sasan, S. Rafatirad, and H. Homayoun, “Mitigating Cache-Based Side Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis”, in Proceedings of IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE’20), Grenoble, France, 2020.

(30) - [IEEE Access]: S. Manoj P D, X. Guo, H. Sayadi, C. Nowzari, A. Sasan, S. Rafatirad, L. Zhao, and H. Homayoun, “Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics”, in IEEE Access Journal, 2020.

(29) - [ICCD]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “Phased-Guard: Multi-Phase Machine Learning Framework for Detection and Identification of Zero-Day Microarchitectural Side-Channel Attacks”, in Proceedings of 38th IEEE International Conference on Computer Design (ICCD’20), 2020.

(28) - [ICMLA]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-day Microarchitectural Side-Channel Attacks” in Proceedings of 19th IEEE International Conference on Machine Learning and Applications (ICMLA’20), 2020.

(27) - [GLSVLSI]: H. Sayadi, Y Gao, H. Makrani, T. Mohsenin, A. Sasan, S. Rafatirad, J. Lin, H. Homayoun, “StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features”, in Proceedings of Great Lakes Symposium on VLSI (GLSVLSI’20), 2020.

(26) - [GLSVLSI]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks”, in Proceedings of Great Lakes Symposium on VLSI (GLSVLSI’20), 2020.

(25) - [IOLTS]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “SCARF: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features”, in Proceedings of IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS’20), 2020. 

(24) - [GOMACTech]: H. Sayadi, Y. Gao, H. Makrani, A. Sasan, J. Lin, S. Rafatirad, and H. Homayoun, “Towards Run-Time Hardware-Assisted Stealthy Malware Detection”, in 45th Government Microcircuit Applications and Critical Technology Conference (GOMACTech’20), March 2020. 

(23) - [GOMACTech]: H. Wang, H. Sayadi, A. Sasan, S. Rafatirad, and H. Homayoun, “DREAL: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features”, in 45th Government Microcircuit Applications and Critical Technology Conference (GOMACTech’20), March 2020.

(22) - [GOMACTech]: H. Makrani, R. Hassan, H. Sayadi, S. Manoj P D, S. Rafatirad, and H. Homayoun, “Adversarial Machine Learning in Cloud”, in 45th Government Microcircuit Applications and Critical Technology Conference (GOMACTech’20), March 2020.

2019: 

(21) - [DATE]: H. Sayadi, H. M. Makrani, S. Manoj P D, T. Mohsenin, A. Sasan, S. Rafatirad, and H. Homayoun, “2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection”, in IEEE Design, Automation & Test in Europe (DATE 2019), Florence, Italy, 2019.

(20) - [DATE]: S. Manoj P D, H. Sayadi, H. M. Makrani, Cameron Nowzari, Setareh Rafatirad, and Houman Homayoun, “Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks”, in IEEE Design, Automation & Test in Europe (DATE 2019), Florence, Italy, 2019.

(19) - [DAC]: S. Manoj P D, S. Amberkar, S. Bhat, H. Sayadi, S. Rafatirad, and H. Homayoun, “Adversarial Attack on Microarchitectural Based Malware Detectors”, in 56th ACM/IEEE Design Automation Conference (DAC’19), Las Vegas, Nevada, 2019.

(18) - [DAC]: H. Sayadi, Y. Gao, S. Rafatirad, J. Lin, and H. Homayoun, “CHASE: A Customized Time Series Machine Learning Approach for Hardware-Based Stealthy Malware Detection”, in (Work-in-Progress Sessions) 56th ACM/IEEE Design Automation Conference (DAC’19), Las Vegas, Nevada, 2019.   

(17) - [FPL]: H. M. Makrani, F. Farahmand, H. Sayadi, S. Bondi, S. Manoj PD, L. Zhao, A. Sasan, H. Homayoun, and S. Rafatirad "Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design" in International Conference on Field-Programmable Logic & Applications (FPL'19), Barcelona, Spain, 2019. 

(16)- [GOMACTech]:  M. Taram, D. M. Tullsen, A. Venkat, H. Sayadi, H. Wang, Sai Manoj P D, and H. Homayoun, “Fast and Efficient Deployment of Security Defenses via Context Sensitive Decoding”, In Proceedings of the 44th Government Microcircuit Applications and Critical Technology Conference (GOMACTech’19), March 2019.

(15)- [ASP-DAC]: H. M. Makrani, H. Sayadi, S. Bondi, T. Mohsenin, S. Rafatirad, A. Sasan,  H. Homayoun, “XPPE: Cross-Platform Performance Estimation of Hardware Accelerators Using Machine Learning”, in 24th IEEE/ACM 24th Asia and South Pacific Design Automation Conference (ASP-DAC 2019),  Tokyo, Japan, 2019.  

2018: 

(14)- [DAC]: H. Sayadi, N. Patel, S. Manoj P D, S. Rafatirad, and H. Homayoun, “Ensemble Learning for Effective Run-Time Hardware-Based Malware Detection: A Comprehensive Analysis and Classification”, in Proceedings of 55th ACM/IEEE Design Automation Conference (DAC’18), San Francisco, California, 2018. 

(13)- [ASP-DAC]: H. Sayadi, Divya Pathak, Ioannis Savidis, and Houman Homayoun, “Power Conversion Efficiency-Aware Mapping of Multithreaded Applications on Heterogeneous Architectures: A Comprehensive Parameter Tuning”, in Proceedings of 23rd IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC’18), pp. 70-75, South Korea, Jan. 22-25, 2018. 

(12)- [CASES]: F. Brasser, L. Davi, A. Dhavlle, T. Frassetto, S. Manoj, S. Rafatirad, A. Sadeghi, A. Sasan, H. Sayadi, S. Zeitouni, and H. Homayoun, “Advances and Throwbacks in Hardware-Assisted Security”, in International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES’18), Italy, 2018. 

(11)- [SoCC]:  H. M. Makrani, H. Sayadi, D. Motwani, H. Wang, S. Rafatirad, and Houman Homayoun, “Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud”, in Proceedings of the ACM Symposium on Cloud Computing (SoCC'18),  California, 2018. 

(10)- [IEEE-TrustCom]: H. Sayadi, H. Makrani, S. Manoj P D, S. Rafatirad, and H. Homayoun, “Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices”, in IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom'18), New York, 2018. 

(9)- [MEMSYS]: H. Makrani, H. Sayadi, S. Manoj P D, S. Rafatirad, and H. Homayoun, “A Comprehensive Memory Analysis of Data Intensive Workloads on Server Class Architecture”,  in ACM International Symposium on Memory Systems (MEMSYS'18), Washington DC, 2018. 

(8)- [ASAP]: H. Makrani, H. Sayadi, S. Manoj P D, S. Rafatirad, and Houman Homayoun, “Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/O Bottleneck in Data-Intensive Workloads”, in IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP'18), Italy, 2018. 

[7]- [CF]: H. Sayadi, S. Manoj P D, Setareh Rafatirad, and Houman Homayoun, “Comprehensive Assessment of Run-Time Hardware-Supported Malware Detection Using General and Ensemble Learning”, in Proceedings of ACM International Conference on Computing Frontiers (CF’18), Ischia, Italy, May 2018.

2017 and before: 

(6)- [ICCD]: H. Sayadi, N. Patel, A. Sasan, and H. Homayoun, “Machine Learning-Based Approaches for Energy-Efficiency Prediction and Scheduling in Composite Cores Architectures”, in Proceedings of 35th IEEE International Conference on Computer Design (ICCD’17), pp. 129-136, Boston, MA, November 5-8, 2017. (Runner-up for Best Paper Award and Selected as top ranked paper for publishing at IEEE Transactions on Emerging Topics in Computing)

(5)- (IBM-ET): H. Sayadi, and Houman Homayoun, “Comprehensive Analysis of Hardware-Based Malware Detectors”, in IBM/IEEE CAS EDS Emerging Technology Symposium (IBM-ET'17), Thomas J. Watson Research Centre, Yorktown Heights, New York, October 2017. 

(4)- [Arxiv]: H. Sayadi, and Houman Homayoun, “Energy-Efficiency Prediction of Multithreaded Workloads on Heterogeneous Composite Cores Architectures using Machine Learning Techniques”, in arXiv preprint arXiv:1808.01728. 

(3)- [IGSC]: H. Sayadi and H. Homayoun, “Scheduling Multithreaded Applications onto Heterogeneous Composite Cores Architectures”, in Proceedings of IEEE International Green and Sustainable Computing Conference (IGSC'17), Orlando, Florida, October 23-25, 2017. 

(2)- [DAC]: H. Sayadi, A. Sasan, and H. Homayoun, “Characterization and Scheduling of Multithreaded Applications on Composite Cores Architectures”, in (WIP Sessions) 54th ACM/IEEE Design Automation Conference (DAC’17), Austin, Texas, June 2017. 

(1)- [DFT]: H. Sayadi, H. Farbeh, A. M. Monazzah, and S. Gh. Miremadi, “A Data Recomputation Approach for Reliability Improvement of Scratchpad Memory in Embedded Systems”, in Proceedings of 27th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology System (DFT'14), pp. 228-233, Amsterdam, Netherlands, October 1-3, 2014.