Event composition operators: ECO. - Setareh Rafatirad; Amarnath Gupta; Ramesh C. Jain (EIMM@MM, 2009)

MEDIALIFE: from images to a life chronicle. - Amarnath Gupta; Setareh Rafatirad; Mingyan Gao; Ramesh C. Jain (SIGMOD Conference, 2009)

Contextual Augmentation of Ontology for Recognizing Sub-events. - Setareh Rafatirad; Ramesh C. Jain (ICSC, 2011)

A comprehensive study of visual event computing. - WeiQi Yan 001; Declan F. Kieran; Setareh Rafatirad; Ramesh C. Jain (Multim. Tools Appl., 2011)

Context-Based Event Ontology Extension in Multimedia Applications. - Setareh Rafatirad; Ramesh C. Jain; Kathryn B. Laskey (ICSC, 2013)

Context Correlation Using Probabilistic Semantics. - Setareh Rafatirad; Kathryn B. Laskey; Paulo Cesar G. da Costa (STIDS, 2013)

Transforming Personal Artifacts into Probabilistic Narratives. - Setareh Rafatirad; Kathryn B. Laskey (UAI Application Workshops, 2013)

System and architecture level characterization of big data applications on big and little core server architectures. - Maria Malik; Setareh Rafatirah; Avesta Sasan; Houman Homayoun (IEEE BigData, 2015)

Big biomedical image processing hardware acceleration: A case study for K-means and image filtering. - Katayoun Neshatpour; Arezou Koohi; Farnoud Farahmand; Rajiv V. Joshi; Setareh Rafatirad; Avesta Sasan; Houman Homayoun (ISCAS, 2016)

Characterizing Hadoop applications on microservers for performance and energy efficiency optimizations. - Maria Malik; Avesta Sasan; Rajiv V. Joshi; Setareh Rafatirah; Houman Homayoun (ISPASS, 2016)

Understanding the role of memory subsystem on performance and energy-efficiency of Hadoop applications. - Hosein Mohammadi Makrani; Shahab Tabatabaei; Setareh Rafatirad; Houman Homayoun (IGSC, 2017)

Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads. - Hosein Mohammadi Makrani; Hossein Sayadi; Sai Manoj P. D.; Setareh Rafatirad; Houman Homayoun (ASAP, 2018)

Advances and throwbacks in hardware-assisted security: special session. - Ferdinand Brasser; Lucas Davi; Abhijitt Dhavlle; Tommaso Frassetto; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad; Ahmad-Reza Sadeghi; Avesta Sasan; Hossein Sayadi; Shaza Zeitouni; Houman Homayoun (CASES, 2018)

Main-Memory Requirements of Big Data Applications on Commodity Server Platform. - Hosein Mohammadi Makrani; Setareh Rafatirad; Amir Houmansadr; Houman Homayoun (CCGrid, 2018)

Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning. - Hossein Sayadi; Sai Manoj P. D.; Amir Houmansadr; Setareh Rafatirad; Houman Homayoun (CF, 2018)

Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud. - Hosein Mohammadi Makrani; Hossein Sayadi; Devang Motwani; Han Wang 020; Setareh Rafatirad; Houman Homayoun (SoCC, 2018)

Ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification. - Hossein Sayadi; Nisarg Patel; Sai Manoj P. D.; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (DAC, 2018)

Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce. - Katayoun Neshatpour; Hosein Mohammadi Makrani; Avesta Sasan; Hassan Ghasemzadeh 001; Setareh Rafatirad; Houman Homayoun (FCCM, 2018)

Efficient utilization of adversarial training towards robust machine learners and its analysis. - Sai Manoj P. D.; Sairaj Amberkar; Setareh Rafatirad; Houman Homayoun (ICCAD, 2018)

A comprehensive memory analysis of data intensive workloads on server class architecture. - Hosein Mohammadi Makrani; Hossein Sayadi; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad; Houman Homayoun (MEMSYS, 2018)

Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. - Katayoun Neshatpour; Hosein Mohammadi Makrani; Avesta Sasan; Hassan Ghasemzadeh 001; Setareh Rafatirad; Houman Homayoun (SAMOS, 2018)

Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices. - Hossein Sayadi; Hosein Mohammadi Makrani; Onkar Randive; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad; Houman Homayoun (TrustCom/BigDataSE, 2018)

Energy-efficient acceleration of MapReduce applications using FPGAs. - Katayoun Neshatpour; Maria Malik; Avesta Sasan; Setareh Rafatirad; Tinoosh Mohsenin; Hassan Ghasemzadeh 001; Houman Homayoun (J. Parallel Distributed Comput., 2018)

Hadoop Workloads Characterization for Performance and Energy Efficiency Optimizations on Microservers. - Maria Malik; Katayoun Neshatpour; Setareh Rafatirad; Houman Homayoun (IEEE Trans. Multi Scale Comput. Syst., 2018)

Hardware Accelerated Mappers for Hadoop MapReduce Streaming. - Katayoun Neshatpour; Maria Malik; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (IEEE Trans. Multi Scale Comput. Syst., 2018)

Optimal Allocation of Computation and Communication in an IoT Network. - Abhimanyu Chopra; Hakan Aydin; Setareh Rafatirad; Houman Homayoun (ACM Trans. Design Autom. Electr. Syst., 2018)

Programmable Gates Using Hybrid CMOS-STT Design to Prevent IC Reverse Engineering. - Ted Winograd; Gaurav Shenoy; Hassan Salmani; Hamid Mahmoodi; Setareh Rafatirad; Houman Homayoun (ACM Trans. Design Autom. Electr. Syst., 2018)

System and Architecture Level Characterization of Big Data Applications on Big and Little Core Server Architectures. - Maria Malik; Setareh Rafatirad; Houman Homayoun (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018)

XPPE: cross-platform performance estimation of hardware accelerators using machine learning. - Hosein Mohammadi Makrani; Hossein Sayadi; Tinoosh Mohsenin; Setareh Rafatirad; Avesta Sasan; Houman Homayoun (ASP-DAC, 2019)

Sequence-Crafter: Side-Channel Entropy Minimization to Thwart Timing-based Side-Channel Attacks. - Abhijitt Dhavlle; Sahil Bhat; Setareh Rafatirad; Houman Homayoun; Sai Manoj P. D. (CASES (work in progress), 2019)

SAT to SAT-Hard Clause Translator. - Rakibul Hassan; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (CASES (work in progress), 2019)

MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection. - Sanket Shukla; Gaurav Kolhe; Sai Manoj P. D.; Setareh Rafatirad (CASES (work in progress), 2019)

Adversarial Attack on Microarchitectural Events based Malware Detectors. - Sai Manoj Pudukotai Dinakarrao; Sairaj Amberkar; Sahil Bhat; Abhijitt Dhavlle; Hossein Sayadi; Avesta Sasan; Houman Homayoun; Setareh Rafatirad (DAC, 2019)

Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks. - Sai Manoj Pudukotai Dinakarrao; Hossein Sayadi; Hosein Mohammadi Makrani; Cameron Nowzari; Setareh Rafatirad; Houman Homayoun (DATE, 2019)

2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection. - Hossein Sayadi; Hosein Mohammadi Makrani; Sai Manoj Pudukotai Dinakarrao; Tinoosh Mohsenin; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (DATE, 2019)

Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. - Hosein Mohammadi Makrani; Farnoud Farahmand; Hossein Sayadi; Sara Bondi; Sai Manoj Pudukotai Dinakarrao; Houman Homayoun; Setareh Rafatirad (FPL, 2019)

On Custom LUT-based Obfuscation. - Gaurav Kolhe; Sai Manoj P. D.; Setareh Rafatirad; Hamid Mahmoodi; Avesta Sasan; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2019)

Mitigating the Performance and Quality of Parallelized Compressive Sensing Reconstruction Using Image Stitching. - Mahmoud Namazi; Hosein Mohammadi Makrani; Zhi Tian; Setareh Rafatirad; Mohamad Hosein Akbari; Avesta Sasan; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2019)

Security and Complexity Analysis of LUT-based Obfuscation: From Blueprint to Reality. - Gaurav Kolhe; Hadi Mardani Kamali; Miklesh Naicker; Tyler David Sheaves; Hamid Mahmoodi; Sai Manoj P. D.; Houman Homayoun; Setareh Rafatirad; Avesta Sasan (ICCAD, 2019)

Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. - Xiaojie Guo 002; Liang Zhao 002; Cameron Nowzari; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (ICDM, 2019)

RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. - Sanket Shukla; Gaurav Kolhe; Sai Manoj P. D.; Setareh Rafatirad (ICMLA, 2019)

A+ Tuning: Architecture+Application Auto-Tuning for In-Memory Data-Processing Frameworks. - Han Wang 020; Setareh Rafatirad; Houman Homayoun (ICPADS, 2019)

ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. - Maria Malik; Hassan Ghasemzadeh 001; Tinoosh Mohsenin; Rosario Cammarota; Liang Zhao 002; Avesta Sasan; Houman Homayoun; Setareh Rafatirad (ICPP, 2019)

Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. - Sanket Shukla; Gaurav Kolhe; Sai Manoj Pudukotai Dinakarrao; Setareh Rafatirad (ICTAI, 2019)

Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. - Zhiqian Chen; Gaurav Kolhe; Setareh Rafatirad; Sai Manoj P. D.; Houman Homayoun; Liang Zhao 002; Chang-Tien Lu (CoRR, 2019)

Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. - Hosein Mohammadi Makrani; Farnoud Farahmand; Hossein Sayadi; Sara Bondi; Sai Manoj Pudukotai Dinakarrao; Liang Zhao 002; Avesta Sasan; Houman Homayoun; Setareh Rafatirad (CoRR, 2019)

Big vs little core for energy-efficient Hadoop computing. - Maria Malik; Katayoun Neshatpour; Setareh Rafatirad; Rajiv V. Joshi; Tinoosh Mohsenin; Hassan Ghasemzadeh 001; Houman Homayoun (J. Parallel Distributed Comput., 2019)

Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. - Zhiqian Chen; Gaurav Kolhe; Setareh Rafatirad; Chang-Tien Lu; Sai Manoj P. D.; Houman Homayoun; Liang Zhao 002 (DATE, 2020)

Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis. - Han Wang 020; Hossein Sayadi; Tinoosh Mohsenin; Liang Zhao 002; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (DATE, 2020)

StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. - Hossein Sayadi; Yifeng Gao; Hosein Mohammadi Makrani; Tinoosh Mohsenin; Avesta Sasan; Setareh Rafatirad; Jessica Lin 001; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2020)

Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks. - Han Wang 020; Hossein Sayadi; Avesta Sasan; Setareh Rafatirad; Tinoosh Mohsenin; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2020)

Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks. - Han Wang 020; Hossein Sayadi; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (ICCAD, 2020)

Phased-Guard: Multi-Phase Machine Learning Framework for Detection and Identification of Zero-Day Microarchitectural Side-Channel Attacks. - Han Wang 020; Hossein Sayadi; Gaurav Kolhe; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (ICCD, 2020)

HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks. - Han Wang 020; Hossein Sayadi; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (ICMLA, 2020)

SCARF: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features. - Han Wang 020; Hossein Sayadi; Setareh Rafatirad; Avesta Sasan; Houman Homayoun (IOLTS, 2020)

Entropy-Shield: Side-Channel Entropy Maximization for Timing-based Side-Channel Attacks. - Abhijitt Dhavlle; Raj Mehta; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (ISQED, 2020)

SATConda: SAT to SAT-Hard Clause Translator. - Rakibul Hassan; Gaurav Kolhe; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (ISQED, 2020)

Bidirectional Transformer based on online Text-based information to Implement Convolutional Neural Network Model For Secure Business Investment. - Maryam Heidari; Setareh Rafatirad (ISTAS, 2020)

Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures. - Hossein Sayadi; Han Wang 020; Tahereh Miari; Hosein Mohammadi Makrani; Mehrdad Aliasgari; Setareh Rafatirad; Houman Homayoun (MWSCAS, 2020)

Using Transfer Learning Approach to Implement Convolutional Neural Network model to Recommend Airline Tickets by Using Online Reviews. - Maryam Heidari; Setareh Rafatirad (SMAP, 2020)

Semantic Convolutional Neural Network model for Safe Business Investment by Using BERT. - Maryam Heidari; Setareh Rafatirad (SNAMS, 2020)

Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. - Sai Manoj Pudukotai Dinakarrao; Xiaojie Guo 002; Hossein Sayadi; Cameron Nowzari; Avesta Sasan; Setareh Rafatirad; Liang Zhao 002; Houman Homayoun (IEEE Access, 2020)

Demography-aware COVID-19 Confinement with Game Theory. - Sreenitha Kasarapu; Rakibul Hassan; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (AICAS, 2021)

Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. - Han Wang 020; Soheil Salehi; Hossein Sayadi; Avesta Sasan; Tinoosh Mohsenin; Sai Manoj P. D.; Setareh Rafatirad; Houman Homayoun (AICAS, 2021)

Securing Hardware via Dynamic Obfuscation Utilizing Reconfigurable Interconnect and Logic Blocks. - Gaurav Kolhe; Soheil Salehi; Tyler David Sheaves; Houman Homayoun; Setareh Rafatirad; Sai Manoj P. D.; Avesta Sasan (DAC, 2021)

On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. - Sanket Shukla; Sai Manoj P. D.; Gaurav Kolhe; Setareh Rafatirad (DAC, 2021)

HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection. - Abhijitt Dhavlle; Sanket Shukla; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (DATE, 2021)

A Cognitive SAT to SAT-Hard Clause Translation-based Logic Obfuscation. - Rakibul Hassan; Gaurav Kolhe; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (DATE, 2021)

Energy-Efficient and Adversarially Robust Machine Learning with Selective Dynamic Band Filtering. - Neha Nagarkar; Khaled N. Khasawneh; Setareh Rafatirad; Avesta Sasan; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (ACM Great Lakes Symposium on VLSI, 2021)

Performance-aware Malware Epidemic Confinement in Large-Scale IoT Networks. - Rakibul Hassan; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (ICC, 2021)

HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures. - Najmeh Nazari Bavarsad; Hosein Mohammadi Makrani; Hossein Sayadi; Lawrence Landis; Setareh Rafatirad; Houman Homayoun (ICCD, 2021)

Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization. - Han Wang 020; Hossein Sayadi; Avesta Sasan; Sai Manoj P. D.; Setareh Rafatirad; Houman Homayoun (ISQED, 2021)

Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud. - Hosein Mohammadi Makrani; Hossein Sayadi; Najmeh Nazari; Khaled N. Khasawneh; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (SEED, 2021)

Ontology-Driven Framework for Trend Analysis of Vulnerabilities and Impacts in IoT Hardware. - Charan Bandi; Soheil Salehi; Rakibul Hassan; Sai Manoj P. D.; Houman Homayoun; Setareh Rafatirad (ICSC, 2021)

Power Swapper: Approximate Functional Block Assisted Cryptosystem Security. - Abhijitt Dhavlle; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (SoCC, 2021)

Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach. - Hossein Sayadi; Yifeng Gao; Hosein Mohammadi Makrani; Jessica Lin 001; Paulo Cesar G. da Costa; Setareh Rafatirad; Houman Homayoun (Cryptogr., 2021)

Enabling Micro AI for Securing Edge Devices at Hardware Level. - Han Wang 020; Hossein Sayadi; Sai Manoj Pudukotai Dinakarrao; Avesta Sasan; Setareh Rafatirad; Houman Homayoun (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Deep Graph Learning for Circuit Deobfuscation. - Zhiqian Chen; Lei Zhang 158; Gaurav Kolhe; Hadi Mardani Kamali; Setareh Rafatirad; Sai Manoj Pudukotai Dinakarrao; Houman Homayoun; Chang-Tien Lu; Liang Zhao 002 (Frontiers Big Data, 2021)

Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. - Hosein Mohammadi Makrani; Hossein Sayadi; Najmeh Nazari; Sai Manoj Pudukotai Dinakarrao; Avesta Sasan; Tinoosh Mohsenin; Setareh Rafatirad; Houman Homayoun (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021)

Towards Generalized ML Model in Automated Physiological Arousal Computing: A Transfer Learning-Based Domain Generalization Approach. - Ruijie Fang; Ruoyu Zhang; Elahe Hosseini; Anna M. Parenteau; Sally Hang; Setareh Rafatirad; Camelia E. Hostinar; Mahdi Orooji; Houman Homayoun (BIBM, 2022)

Prevent Over-fitting and Redundancy in Physiological Signal Analyses for Stress Detection. - Ruijie Fang; Ruoyu Zhang; Elahe Hosseini; Anna M. Parenteau; Sally Hang; Setareh Rafatirad; Camelia E. Hostinar; Mahdi Orooji; Houman Homayoun (BIBM, 2022)

A Low Cost EDA-based Stress Detection Using Machine Learning. - Elahe Hosseini; Ruijie Fang; Ruoyu Zhang; Anna M. Parenteau; Sally Hang; Setareh Rafatirad; Camelia Hostinar; Mahdi Orooji; Houman Homayoun (BIBM, 2022)

Silicon validation of LUT-based logic-locked IP cores. - Gaurav Kolhe; Tyler Sheaves; Kevin Immanuel Gubbi; Tejas Kadale; Setareh Rafatirad; Sai Manoj P. D.; Avesta Sasan; Hamid Mahmoodi; Houman Homayoun (DAC, 2022)

LOCK&ROLL: deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking. - Gaurav Kolhe; Tyler David Sheaves; Kevin Immanuel Gubbi; Soheil Salehi; Setareh Rafatirad; Sai Manoj P. D.; Avesta Sasan; Houman Homayoun (DAC, 2022)

CR-Spectre: Defense-Aware ROP Injected Code-Reuse Based Dynamic Spectre. - Abhijitt Dhavlle; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (DATE, 2022)

Machine Learning to the Rescue: ML-Assisted Framework for Equity-Driven Education. - Wooyoung Chung; Xiyu Zhang 002; Zunaira Ahmad; Hossein Sayadi; Setareh Rafatirad (EDUCON, 2022)

ATLAS: An Adaptive Transfer Learning Based Pain Assessment System: A Real Life Unsupervised Pain Assessment Solution. - Ruijie Fang; Ruoyu Zhang; Elahe Hosseini; Mahdi Orooji; Houman Homayoun; Sayed Mohammad Hosseini; Mahya Faghih; Soheil Rafatirad; Setareh Rafatirad (EMBC, 2022)

Convolution Neural Network for Pain Intensity Assessment from Facial Expression. - Elahe Hosseini; Ruijie Fang; Ruoyu Zhang; Chen-Nee Chuah; Mahdi Orooji; Soheil Rafatirad; Setareh Rafatirad; Houman Homayoun (EMBC, 2022)

Survey of Machine Learning for Electronic Design Automation. - Kevin Immanuel Gubbi; Sayed Aresh Beheshti-Shirazi; Tyler David Sheaves; Soheil Salehi; Sai Manoj P. D.; Setareh Rafatirad; Avesta Sasan; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2022)

RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks. - Sanket Shukla; Gaurav Kolhe; Houman Homayoun; Setareh Rafatirad; Sai Manoj P. D. (ACM Great Lakes Symposium on VLSI, 2022)

Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach. - Zhangying He; Hosein Mohammadi Makrani; Setareh Rafatirad; Houman Homayoun; Hossein Sayadi (ICCD, 2022)

Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics. - Sanket Shukla; Abhijitt Dhavlle; Sai Manoj P. D.; Houman Homayoun; Setareh Rafatirad (ICCD, 2022)

Accelerated Machine Learning for On-Device Hardware-Assisted Cybersecurity in Edge Platforms. - Hosein Mohammadi Makrani; Zhangying He; Setareh Rafatirad; Hossein Sayadi (ISQED, 2022)

Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks. - Chongzhou Fang; Han Wang 020; Najmeh Nazari; Behnam Omidi; Avesta Sasan; Khaled N. Khasawneh; Setareh Rafatirad; Houman Homayoun (NDSS, 2022)

Neuromorphic-Enabled Security for IoT. - Soheil Salehi; Tyler David Sheaves; Kevin Immanuel Gubbi; Sayed Arash Beheshti; Sai Manoj P. D.; Setareh Rafatirad; Avesta Sasan; Tinoosh Mohsenin; Houman Homayoun (NEWCAS, 2022)

A Neural Network-based SAT-Resilient Obfuscation Towards Enhanced Logic Locking. - Rakibul Hassan; Gaurav Kolhe; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (CoRR, 2022)

Imitating Functional Operations for Mitigating Side-Channel Leakage. - Abhijitt Dhavlle; Setareh Rafatirad; Khaled N. Khasawneh; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A Neural Network-Based Cognitive Obfuscation Toward Enhanced Logic Locking. - Rakibul Hassan; Gaurav Kolhe; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Breaking the Design and Security Trade-off of Look-up-table-based Obfuscation. - Gaurav Kolhe; Tyler David Sheaves; Sai Manoj P. D.; Hamid Mahmoodi; Setareh Rafatirad; Avesta Sasan; Houman Homayoun (ACM Trans. Design Autom. Electr. Syst., 2022)

Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing. - Ruijie Fang; Ruoyu Zhang; Elahe Hosseini; Chongzhou Fang; Setareh Rafatirad; Houman Homayoun (BIBM, 2023)

Emotion and Stress Recognition Utilizing Galvanic Skin Response and Wearable Technology: A Real-time Approach for Mental Health Care. - Elahe Hosseini; Ruijie Fang; Ruoyu Zhang; Setareh Rafatirad; Houman Homayoun (BIBM, 2023)

Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks. - Sanket Shukla; Setareh Rafatirad; Houman Homayoun; Sai Manoj Pudukotai Dinakarrao (DATE, 2023)

Towards Race and Gender Equity in Data Science Education. - Brendan Baird; Namya Radesh; Setareh Rafatirad; Hossein Sayadi (FIE, 2023)

Unleashing the Potential of Reinforcement Learning for Enhanced Personalized Education. - Chelsea William Fernandes; Tahereh Miari; Setareh Rafatirad; Hossein Sayadi (FIE, 2023)

Automated Supervised Topic Modeling Framework for Hardware Weaknesses. - Rakibul Hassan; Charan Bandi; Meng-Tien Tsai; Shahriar Golchin; Sai Manoj P. D.; Setareh Rafatirad; Soheil Salehi (ISQED, 2023)

HeteroScore: Evaluating and Mitigating Cloud Security Threats Brought by Heterogeneity. - Chongzhou Fang; Najmeh Nazari; Behnam Omidi; Han Wang 020; Aditya Puri; Manish Arora; Setareh Rafatirad; Houman Homayoun; Khaled N. Khasawneh (NDSS, 2023)

Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization. - Sayed Aresh Beheshti-Shirazi; Najmeh Nazari; Kevin Immanuel Gubbi; Banafsheh Saber Latibari; Setareh Rafatirad; Houman Homayoun; Avesta Sasan; Sai Manoj P. D. (IEEE Access, 2023)

HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion. - Yu-Zheng Lin; Muntasir Mamun; Muhtasim Alam Chowdhury; Shuyu Cai; Mingyu Zhu; Banafsheh Saber Latibari; Kevin Immanuel Gubbi; Najmeh Nazari Bavarsad; Arjun Caputo; Avesta Sasan; Houman Homayoun; Setareh Rafatirad; et al. (CoRR, 2023)

Adversarial Attacks Against Machine Learning-Based Resource Provisioning Systems. - Najmeh Nazari; Hosein Mohammadi Makrani; Chongzhou Fang; Behnam Omidi; Setareh Rafatirad; Hossein Sayadi; Khaled N. Khasawneh; Houman Homayoun (IEEE Micro, 2023)

Hardware Trojan Detection Using Machine Learning: A Tutorial. - Kevin Immanuel Gubbi; Banafsheh Saber Latibari; Anirudh Srikanth; Tyler Sheaves; Sayed Arash Beheshti-Shirazi; Sai Manoj PD; Setareh Rafatirad; Avesta Sasan; Houman Homayoun; Soheil Salehi (ACM Trans. Embed. Comput. Syst., 2023)

Validation of WeBe Band During Physical Activities. - Ruijie Fang; Sally Hang; Ruoyu Zhang; Chongzhou Fang; Setareh Rafatirad; Camelia Hostinar; Houman Homayoun (BSN, 2024)

Architectural Whispers: Robust Machine Learning Models Fingerprinting via Frequency Throttling Side-Channels. - Najmeh Nazari; Chongzhou Fang; Hosein Mohammadi Makrani; Behnam Omidi; Mahdi Eslamimehr; Setareh Rafatirad; Avesta Sasan; Hossein Sayadi; Khaled N. Khasawneh; Houman Homayoun (DAC, 2024)

SpecScope: Automating Discovery of Exploitable Spectre Gadgets on Black-Box Microarchitectures. - Najmeh Nazari; Behnam Omidi; Chongzhou Fang; Hosein Mohammadi Makrani; Setareh Rafatirad; Avesta Sasan; Houman Homayoun; Khaled N. Khasawneh (DATE, 2024)

The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering. - Zhangying He; Thomas Nguyen; Tahereh Miari; Mehrdad Aliasgari; Setareh Rafatirad; Hossein Sayadi (EDUCON, 2024)

Interactive Framework for Cybersecurity Education and Future Workforce Development. - Sujan Ghimire; Muhtasim Alam Chowdhury; Ryan Tsang; Richard C. Yarnell; Emma Heckert; Jaeden Wolf Carpenter; Yu-Zheng Lin; Muntasir Mamun; Ronald F. DeMara; Setareh Rafatirad; Pratik Satam; Soheil Salehi (FIE, 2024)

Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures. - Najmeh Nazari; Kevin Immanuel Gubbi; Banafsheh Saber Latibari; Muhtasim Alam Chowdhury; Chongzhou Fang; Avesta Sasan; Setareh Rafatirad; Houman Homayoun; Soheil Salehi (ISCAS, 2024)

LLM-FIN: Large Language Models Fingerprinting Attack on Edge Devices. - Najmeh Nazari; Furi Xiang; Chongzhou Fang; Hosein Mohammadi Makrani; Aditya Puri; Kartik Patwari; Hossein Sayadi; Setareh Rafatirad; Chen-Nee Chuah; Houman Homayoun (ISQED, 2024)

Forget and Rewire: Enhancing the Resilience of Transformer-based Models against Bit-Flip Attacks. - Najmeh Nazari; Hosein Mohammadi Makrani; Chongzhou Fang; Hossein Sayadi; Setareh Rafatirad; Khaled N. Khasawneh; Houman Homayoun (USENIX Security Symposium, 2024)

APEX: Attention on Personality based Emotion ReXgnition Framework. - Ruijie Fang; Ruoyu Zhang; Elahe Hosseini; Chongzhou Fang; Mahdi Eslamimehr; Setareh Rafatirad; Houman Homayoun (CoRR, 2024)

Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach. - Kevin Immanuel Gubbi; Banafsheh Saber Latibari; Muhtasim Alam Chowdhury; Afrooz Jalilzadeh; Erfan Yazdandoost Hamedani; Setareh Rafatirad; Avesta Sasan; Houman Homayoun; Soheil Salehi (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Extended Operational Life for Wearable Health Devices: A Hybrid TinyML and Server-Side ML Approach. - Najmeh Nazari; Vedant Patel; Chongzhou Fang; Setareh Rafatirad; Houman Homayoun (ISCAS, 2025)

Navigating the Trilemma: Security, Power, and Performance Trade-Offs in Bluetooth Low Energy. - Ning Miao; Chongzhou Fang; Ruijie Fang; Ruoyu Zhang; Mahdi Eslamimehr; Setareh Rafatirad; Hossein Sayadi; Houman Homayoun (ISQED, 2025)

Large Language Models for Opioid-Induced Respiratory Depression Prediction in Hospitalized Patients: A Retrospective Study. - Elahe Hosseini; Abhinav Srinivas; Najmeh Nazari; Charity Hale; Setareh Rafatirad; Houman Homayoun (ACM Trans. Comput. Heal., 2025)

Know Me by My Pulse: Toward Practical Continuous Authentication on Wearable Devices via Wrist-Worn PPG. - Wei Shao; Zequan Liang; Ruoyu Zhang; Ruijie Fang; Ning Miao; Ehsan Kourkchi; Setareh Rafatirad; Houman Homayoun; Chongzhou Fang (CoRR, 2025)