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Setareh Rafatirad
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- affiliation: George Mason University
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2020 – today
- 2024
- [j20]Kevin Immanuel Gubbi
, Banafsheh Saber Latibari
, Muhtasim Alam Chowdhury
, Afrooz Jalilzadeh
, Erfan Yazdandoost Hamedani
, Setareh Rafatirad
, Avesta Sasan, Houman Homayoun
, Soheil Salehi
:
Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2031-2044 (2024) - [c92]Najmeh Nazari, Behnam Omidi, Chongzhou Fang, Hosein Mohammadi Makrani, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Khaled N. Khasawneh:
SpecScope: Automating Discovery of Exploitable Spectre Gadgets on Black-Box Microarchitectures. DATE 2024: 1-6 - [c91]Zhangying He, Thomas Nguyen, Tahereh Miari, Mehrdad Aliasgari, Setareh Rafatirad, Hossein Sayadi:
The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering. EDUCON 2024: 1-10 - [c90]Najmeh Nazari, Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Muhtasim Alam Chowdhury, Chongzhou Fang, Avesta Sasan, Setareh Rafatirad, Houman Homayoun, Soheil Salehi:
Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures. ISCAS 2024: 1-5 - [c89]Najmeh Nazari, Furi Xiang, Chongzhou Fang, Hosein Mohammadi Makrani, Aditya Puri, Kartik Patwari, Hossein Sayadi, Setareh Rafatirad, Chen-Nee Chuah, Houman Homayoun:
LLM-FIN: Large Language Models Fingerprinting Attack on Edge Devices. ISQED 2024: 1-6 - [c88]Najmeh Nazari, Hosein Mohammadi Makrani, Chongzhou Fang, Hossein Sayadi, Setareh Rafatirad, Khaled N. Khasawneh, Houman Homayoun:
Forget and Rewire: Enhancing the Resilience of Transformer-based Models against Bit-Flip Attacks. USENIX Security Symposium 2024 - [i7]Zhangying He, Thomas Nguyen, Tahereh Miari, Mehrdad Aliasgari, Setareh Rafatirad, Hossein Sayadi:
The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering. CoRR abs/2407.05205 (2024) - 2023
- [j19]Sayed Aresh Beheshti-Shirazi
, Najmeh Nazari
, Kevin Immanuel Gubbi, Banafsheh Saber Latibari
, Setareh Rafatirad
, Houman Homayoun
, Avesta Sasan, Sai Manoj P. D.
:
Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization. IEEE Access 11: 87869-87886 (2023) - [j18]Najmeh Nazari
, Hosein Mohammadi Makrani
, Chongzhou Fang
, Behnam Omidi
, Setareh Rafatirad
, Hossein Sayadi
, Khaled N. Khasawneh
, Houman Homayoun
:
Adversarial Attacks Against Machine Learning-Based Resource Provisioning Systems. IEEE Micro 43(5): 35-44 (2023) - [j17]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
:
Hardware Trojan Detection Using Machine Learning: A Tutorial. ACM Trans. Embed. Comput. Syst. 22(3): 46:1-46:26 (2023) - [c87]Elahe Hosseini, Ruijie Fang, Ruoyu Zhang, Setareh Rafatirad, Houman Homayoun:
Emotion and Stress Recognition Utilizing Galvanic Skin Response and Wearable Technology: A Real-time Approach for Mental Health Care. BIBM 2023: 1125-1131 - [c86]Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Chongzhou Fang, Setareh Rafatirad, Houman Homayoun:
Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing. BIBM 2023: 1890-1894 - [c85]Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks. DATE 2023: 1-6 - [c84]Brendan Baird, Namya Radesh, Setareh Rafatirad, Hossein Sayadi:
Towards Race and Gender Equity in Data Science Education. FIE 2023: 1-10 - [c83]Chelsea William Fernandes, Tahereh Miari, Setareh Rafatirad, Hossein Sayadi:
Unleashing the Potential of Reinforcement Learning for Enhanced Personalized Education. FIE 2023: 1-5 - [c82]Rakibul Hassan, Charan Bandi, Meng-Tien Tsai, Shahriar Golchin, Sai Manoj P. D., Setareh Rafatirad, Soheil Salehi
:
Automated Supervised Topic Modeling Framework for Hardware Weaknesses. ISQED 2023: 1-8 - [c81]Chongzhou Fang, Najmeh Nazari, Behnam Omidi, Han Wang, Aditya Puri, Manish Arora, Setareh Rafatirad, Houman Homayoun, Khaled N. Khasawneh:
HeteroScore: Evaluating and Mitigating Cloud Security Threats Brought by Heterogeneity. NDSS 2023 - [i6]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, Pratik Satam, Soheil Salehi:
HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion. CoRR abs/2312.13530 (2023) - 2022
- [j16]Abhijitt Dhavlle
, Setareh Rafatirad
, Khaled N. Khasawneh
, Houman Homayoun
, Sai Manoj Pudukotai Dinakarrao
:
Imitating Functional Operations for Mitigating Side-Channel Leakage. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 868-881 (2022) - [j15]Rakibul Hassan
, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun
, Sai Manoj Pudukotai Dinakarrao
:
A Neural Network-Based Cognitive Obfuscation Toward Enhanced Logic Locking. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4587-4599 (2022) - [j14]Gaurav Kolhe
, Tyler David Sheaves
, Sai Manoj P. D., Hamid Mahmoodi, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Breaking the Design and Security Trade-off of Look-up-table-based Obfuscation. ACM Trans. Design Autom. Electr. Syst. 27(6): 56:1-56:29 (2022) - [c80]Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Anna M. Parenteau, Sally Hang, Setareh Rafatirad, Camelia E. Hostinar, Mahdi Orooji, Houman Homayoun:
Towards Generalized ML Model in Automated Physiological Arousal Computing: A Transfer Learning-Based Domain Generalization Approach. BIBM 2022: 2577-2584 - [c79]Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Anna M. Parenteau, Sally Hang, Setareh Rafatirad, Camelia E. Hostinar, Mahdi Orooji, Houman Homayoun:
Prevent Over-fitting and Redundancy in Physiological Signal Analyses for Stress Detection. BIBM 2022: 2585-2588 - [c78]Elahe Hosseini, Ruijie Fang, Ruoyu Zhang, Anna Parenteau, Sally Hang, Setareh Rafatirad, Camelia Hostinar, Mahdi Orooji, Houman Homayoun:
A Low Cost EDA-based Stress Detection Using Machine Learning. BIBM 2022: 2619-2623 - [c77]Gaurav Kolhe, Tyler David Sheaves
, Kevin Immanuel Gubbi, Soheil Salehi
, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Houman Homayoun:
LOCK&ROLL: deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking. DAC 2022: 85-90 - [c76]Gaurav Kolhe, Tyler Sheaves
, Kevin Immanuel Gubbi, Tejas Kadale, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Hamid Mahmoodi, Houman Homayoun:
Silicon validation of LUT-based logic-locked IP cores. DAC 2022: 1189-1194 - [c75]Abhijitt Dhavlle, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
CR-Spectre: Defense-Aware ROP Injected Code-Reuse Based Dynamic Spectre. DATE 2022: 508-513 - [c74]Wooyoung Chung, Xiyu Zhang, Zunaira Ahmad, Hossein Sayadi, Setareh Rafatirad:
Machine Learning to the Rescue: ML-Assisted Framework for Equity-Driven Education. EDUCON 2022: 1254-1263 - [c73]Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Mahdi Orooji, Houman Homayoun, Sayed Mohammad Hosseini, Mahya Faghih
, Soheil Rafatirad, Setareh Rafatirad:
ATLAS: An Adaptive Transfer Learning Based Pain Assessment System: A Real Life Unsupervised Pain Assessment Solution. EMBC 2022: 1331-1337 - [c72]Elahe Hosseini, Ruijie Fang, Ruoyu Zhang, Chen-Nee Chuah, Mahdi Orooji, Soheil Rafatirad, Setareh Rafatirad, Houman Homayoun:
Convolution Neural Network for Pain Intensity Assessment from Facial Expression. EMBC 2022: 2697-2702 - [c71]Sanket Shukla, Gaurav Kolhe, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D.:
RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks. ACM Great Lakes Symposium on VLSI 2022: 153-157 - [c70]Kevin Immanuel Gubbi, Sayed Aresh Beheshti-Shirazi, Tyler David Sheaves
, Soheil Salehi, Sai Manoj P. D., Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Survey of Machine Learning for Electronic Design Automation. ACM Great Lakes Symposium on VLSI 2022: 513-518 - [c69]Zhangying He, Hosein Mohammadi Makrani, Setareh Rafatirad, Houman Homayoun, Hossein Sayadi:
Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach. ICCD 2022: 231-238 - [c68]Sanket Shukla, Abhijitt Dhavlle, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad:
Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics. ICCD 2022: 259-262 - [c67]Hosein Mohammadi Makrani, Zhangying He, Setareh Rafatirad, Hossein Sayadi:
Accelerated Machine Learning for On-Device Hardware-Assisted Cybersecurity in Edge Platforms. ISQED 2022: 77-83 - [c66]Chongzhou Fang, Han Wang, Najmeh Nazari, Behnam Omidi, Avesta Sasan, Khaled N. Khasawneh, Setareh Rafatirad, Houman Homayoun:
Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks. NDSS 2022 - [c65]Soheil Salehi
, Tyler David Sheaves
, Kevin Immanuel Gubbi, Sayed Arash Beheshti, Sai Manoj P. D., Setareh Rafatirad, Avesta Sasan, Tinoosh Mohsenin, Houman Homayoun:
Neuromorphic-Enabled Security for IoT. NEWCAS 2022: 153-157 - [i5]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Neural Network-based SAT-Resilient Obfuscation Towards Enhanced Logic Locking. CoRR abs/2209.05799 (2022) - 2021
- [j13]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar G. da Costa, Setareh Rafatirad, Houman Homayoun:
Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach. Cryptogr. 5(4): 28 (2021) - [j12]Han Wang
, Hossein Sayadi
, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan
, Setareh Rafatirad
, Houman Homayoun
:
Enabling Micro AI for Securing Edge Devices at Hardware Level. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 803-815 (2021) - [j11]Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu
, Liang Zhao:
Deep Graph Learning for Circuit Deobfuscation. Frontiers Big Data 4: 608286 (2021) - [j10]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Tinoosh Mohsenin, Setareh Rafatirad, Houman Homayoun:
Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(4): 18:1-18:24 (2021) - [c64]Sreenitha Kasarapu, Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Demography-aware COVID-19 Confinement with Game Theory. AICAS 2021: 1-4 - [c63]Han Wang, Soheil Salehi
, Hossein Sayadi, Avesta Sasan, Tinoosh Mohsenin, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. AICAS 2021: 1-4 - [c62]Gaurav Kolhe, Soheil Salehi
, Tyler David Sheaves
, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan:
Securing Hardware via Dynamic Obfuscation Utilizing Reconfigurable Interconnect and Logic Blocks. DAC 2021: 229-234 - [c61]Sanket Shukla, Sai Manoj P. D., Gaurav Kolhe, Setareh Rafatirad:
On-device Malware Detection using Performance-Aware and Robust Collaborative Learning. DAC 2021: 967-972 - [c60]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Cognitive SAT to SAT-Hard Clause Translation-based Logic Obfuscation. DATE 2021: 1172-1177 - [c59]Abhijitt Dhavlle, Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection. DATE 2021: 1769-1774 - [c58]Neha Nagarkar, Khaled N. Khasawneh, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Energy-Efficient and Adversarially Robust Machine Learning with Selective Dynamic Band Filtering. ACM Great Lakes Symposium on VLSI 2021: 195-200 - [c57]Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Performance-aware Malware Epidemic Confinement in Large-Scale IoT Networks. ICC 2021: 1-6 - [c56]Najmeh Nazari Bavarsad, Hosein Mohammadi Makrani, Hossein Sayadi, Lawrence Landis, Setareh Rafatirad, Houman Homayoun:
HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures. ICCD 2021: 509-516 - [c55]Han Wang, Hossein Sayadi, Avesta Sasan, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization. ISQED 2021: 79-84 - [c54]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Khaled N. Khasawneh, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud. SEED 2021: 1-13 - [c53]Charan Bandi, Soheil Salehi
, Rakibul Hassan, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad:
Ontology-Driven Framework for Trend Analysis of Vulnerabilities and Impacts in IoT Hardware. ICSC 2021: 211-214 - [c52]Abhijitt Dhavlle, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Power Swapper: Approximate Functional Block Assisted Cryptosystem Security. SoCC 2021: 101-105 - [i4]Chongzhou Fang, Han Wang, Najmeh Nazari, Behnam Omidi, Avesta Sasan, Khaled N. Khasawneh, Setareh Rafatirad, Houman Homayoun:
Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks. CoRR abs/2110.00846 (2021) - 2020
- [j9]Sai Manoj Pudukotai Dinakarrao
, Xiaojie Guo
, Hossein Sayadi
, Cameron Nowzari
, Avesta Sasan
, Setareh Rafatirad
, Liang Zhao
, Houman Homayoun
:
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. IEEE Access 8: 138508-138528 (2020) - [c51]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu
, Sai Manoj P. D., Houman Homayoun, Liang Zhao:
Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. DATE 2020: 358-363 - [c50]Han Wang, Hossein Sayadi, Tinoosh Mohsenin, Liang Zhao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis. DATE 2020: 1414-1419 - [c49]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun:
StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. ACM Great Lakes Symposium on VLSI 2020: 175-180 - [c48]Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Houman Homayoun:
Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks. ACM Great Lakes Symposium on VLSI 2020: 181-186 - [c47]Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks. ICCAD 2020: 36:1-36:9 - [c46]Han Wang, Hossein Sayadi, Gaurav Kolhe, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Phased-Guard: Multi-Phase Machine Learning Framework for Detection and Identification of Zero-Day Microarchitectural Side-Channel Attacks. ICCD 2020: 648-655 - [c45]Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks. ICMLA 2020: 604-611 - [c44]Han Wang, Hossein Sayadi, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
SCARF: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features. IOLTS 2020: 1-6 - [c43]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
:
SATConda: SAT to SAT-Hard Clause Translator. ISQED 2020: 155-160 - [c42]Abhijitt Dhavlle, Raj Mehta, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
:
Entropy-Shield: Side-Channel Entropy Maximization for Timing-based Side-Channel Attacks. ISQED 2020: 161-166 - [c41]Maryam Heidari, Setareh Rafatirad:
Bidirectional Transformer based on online Text-based information to Implement Convolutional Neural Network Model For Secure Business Investment. ISTAS 2020: 322-329 - [c40]Hossein Sayadi, Han Wang, Tahereh Miari, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Setareh Rafatirad, Houman Homayoun:
Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures. MWSCAS 2020: 949-952 - [c39]Maryam Heidari, Setareh Rafatirad:
Using Transfer Learning Approach to Implement Convolutional Neural Network model to Recommend Airline Tickets by Using Online Reviews. SMAP 2020: 1-6 - [c38]Maryam Heidari, Setareh Rafatirad:
Semantic Convolutional Neural Network model for Safe Business Investment by Using BERT. SNAMS 2020: 1-6 - [i3]Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. CoRR abs/2003.09945 (2020)
2010 – 2019
- 2019
- [j8]Maria Malik, Katayoun Neshatpour, Setareh Rafatirad, Rajiv V. Joshi, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun:
Big vs little core for energy-efficient Hadoop computing. J. Parallel Distributed Comput. 129: 110-124 (2019) - [c37]Hosein Mohammadi Makrani, Hossein Sayadi, Tinoosh Mohsenin, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
XPPE: cross-platform performance estimation of hardware accelerators using machine learning. ASP-DAC 2019: 727-732 - [c36]Abhijitt Dhavlle, Sahil Bhat, Setareh Rafatirad, Houman Homayoun, Sai Manoj P. D.:
Sequence-Crafter: Side-Channel Entropy Minimization to Thwart Timing-based Side-Channel Attacks. CASES (work in progress) 2019: 1-2 - [c35]Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
SAT to SAT-Hard Clause Translator. CASES (work in progress) 2019: 1-2 - [c34]Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad:
MicroArchitectural Events and Image Processing-based Hybrid Approach for Robust Malware Detection. CASES (work in progress) 2019: 1-2 - [c33]Sai Manoj Pudukotai Dinakarrao
, Sairaj Amberkar, Sahil Bhat, Abhijitt Dhavlle, Hossein Sayadi, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Adversarial Attack on Microarchitectural Events based Malware Detectors. DAC 2019: 164 - [c32]Hossein Sayadi, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao
, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection. DATE 2019: 728-733 - [c31]Sai Manoj Pudukotai Dinakarrao
, Hossein Sayadi, Hosein Mohammadi Makrani, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun:
Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks. DATE 2019: 776-781 - [c30]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao
, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. FPL 2019: 397-403 - [c29]Mahmoud Namazi, Hosein Mohammadi Makrani, Zhi Tian, Setareh Rafatirad, Mohamad Hosein Akbari, Avesta Sasan, Houman Homayoun:
Mitigating the Performance and Quality of Parallelized Compressive Sensing Reconstruction Using Image Stitching. ACM Great Lakes Symposium on VLSI 2019: 219-224 - [c28]Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad, Hamid Mahmoodi, Avesta Sasan, Houman Homayoun:
On Custom LUT-based Obfuscation. ACM Great Lakes Symposium on VLSI 2019: 477-482 - [c27]Gaurav Kolhe, Hadi Mardani Kamali, Miklesh Naicker, Tyler David Sheaves
, Hamid Mahmoodi, Sai Manoj P. D.
, Houman Homayoun, Setareh Rafatirad, Avesta Sasan:
Security and Complexity Analysis of LUT-based Obfuscation: From Blueprint to Reality. ICCAD 2019: 1-8 - [c26]Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
:
Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. ICDM 2019: 250-259 - [c25]Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad:
RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. ICMLA 2019: 406-409 - [c24]Han Wang, Setareh Rafatirad, Houman Homayoun:
A+ Tuning: Architecture+Application Auto-Tuning for In-Memory Data-Processing Frameworks. ICPADS 2019: 163-166 - [c23]Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. ICPP 2019: 7:1-7:11 - [c22]Sanket Shukla, Gaurav Kolhe, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad:
Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. ICTAI 2019: 590-597 - [i2]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu:
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. CoRR abs/1902.05357 (2019) - [i1]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. CoRR abs/1907.12952 (2019) - 2018
- [j7]Katayoun Neshatpour
, Maria Malik, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun:
Energy-efficient acceleration of MapReduce applications using FPGAs. J. Parallel Distributed Comput. 119: 1-17 (2018) - [j6]Maria Malik
, Katayoun Neshatpour
, Setareh Rafatirad, Houman Homayoun:
Hadoop Workloads Characterization for Performance and Energy Efficiency Optimizations on Microservers. IEEE Trans. Multi Scale Comput. Syst. 4(3): 355-368 (2018) - [j5]Katayoun Neshatpour
, Maria Malik
, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Hardware Accelerated Mappers for Hadoop MapReduce Streaming. IEEE Trans. Multi Scale Comput. Syst. 4(4): 734-748 (2018) - [j4]Ted Winograd, Gaurav Shenoy, Hassan Salmani, Hamid Mahmoodi
, Setareh Rafatirad, Houman Homayoun:
Programmable Gates Using Hybrid CMOS-STT Design to Prevent IC Reverse Engineering. ACM Trans. Design Autom. Electr. Syst. 23(6): 76:1-76:21 (2018) - [j3]Abhimanyu Chopra, Hakan Aydin, Setareh Rafatirad, Houman Homayoun:
Optimal Allocation of Computation and Communication in an IoT Network. ACM Trans. Design Autom. Electr. Syst. 23(6): 78:1-78:22 (2018) - [j2]Maria Malik
, Setareh Rafatirad, Houman Homayoun:
System and Architecture Level Characterization of Big Data Applications on Big and Little Core Server Architectures. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(3): 14:1-14:32 (2018) - [c21]Hosein Mohammadi Makrani, Hossein Sayadi, Sai Manoj P. D.
, Setareh Rafatirad, Houman Homayoun:
Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads. ASAP 2018: 1-8 - [c20]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:
Advances and throwbacks in hardware-assisted security: special session. CASES 2018: 15:1-15:10 - [c19]Hosein Mohammadi Makrani, Setareh Rafatirad, Amir Houmansadr, Houman Homayoun:
Main-Memory Requirements of Big Data Applications on Commodity Server Platform. CCGrid 2018: 653-660 - [c18]Hossein Sayadi, Sai Manoj P. D.
, Amir Houmansadr, Setareh Rafatirad, Houman Homayoun:
Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning. CF 2018: 212-215 - [c17]Hosein Mohammadi Makrani, Hossein Sayadi, Devang Motwani, Han Wang, Setareh Rafatirad, Houman Homayoun:
Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud. SoCC 2018: 517 - [c16]Hossein Sayadi, Nisarg Patel, Sai Manoj P. D.
, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification. DAC 2018: 1:1-1:6 - [c15]Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun:
Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce. FCCM 2018: 221 - [c14]Sai Manoj P. D., Sairaj Amberkar, Setareh Rafatirad, Houman Homayoun:
Efficient utilization of adversarial training towards robust machine learners and its analysis. ICCAD 2018: 78 - [c13]Hosein Mohammadi Makrani, Hossein Sayadi, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Houman Homayoun:
A comprehensive memory analysis of data intensive workloads on server class architecture. MEMSYS 2018: 19-30 - [c12]Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun:
Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. SAMOS 2018: 89-96 - [c11]Hossein Sayadi, Hosein Mohammadi Makrani, Onkar Randive, Sai Manoj Pudukotai Dinakarrao
, Setareh Rafatirad, Houman Homayoun:
Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices. TrustCom/BigDataSE 2018: 1685-1688 - 2017
- [c10]Hosein Mohammadi Makrani, Shahab Tabatabaei, Setareh Rafatirad, Houman Homayoun:
Understanding the role of memory subsystem on performance and energy-efficiency of Hadoop applications. IGSC 2017: 1-6 - 2016
- [c9]Katayoun Neshatpour, Arezou Koohi, Farnoud Farahmand, Rajiv V. Joshi, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Big biomedical image processing hardware acceleration: A case study for K-means and image filtering. ISCAS 2016: 1134-1137 - [c8]Maria Malik, Avesta Sasan, Rajiv V. Joshi, Setareh Rafatirah, Houman Homayoun:
Characterizing Hadoop applications on microservers for performance and energy efficiency optimizations. ISPASS 2016: 153-154 - 2015
- [c7]Maria Malik, Setareh Rafatirah, Avesta Sasan, Houman Homayoun:
System and architecture level characterization of big data applications on big and little core server architectures. IEEE BigData 2015: 85-94 - 2013
- [c6]Setareh Rafatirad, Ramesh C. Jain, Kathryn B. Laskey:
Context-Based Event Ontology Extension in Multimedia Applications. ICSC 2013: 278-285 - [c5]Setareh Rafatirad, Kathryn B. Laskey, Paulo Cesar G. da Costa:
Context Correlation Using Probabilistic Semantics. STIDS 2013: 2-9 - [c4]Setareh Rafatirad, Kathryn B. Laskey:
Transforming Personal Artifacts into Probabilistic Narratives. UAI Application Workshops 2013: 29-38 - 2011
- [j1]WeiQi Yan, Declan F. Kieran, Setareh Rafatirad, Ramesh C. Jain:
A comprehensive study of visual event computing. Multim. Tools Appl. 55(3): 443-481 (2011) - [c3]Setareh Rafatirad, Ramesh C. Jain:
Contextual Augmentation of Ontology for Recognizing Sub-events. ICSC 2011: 546-553
2000 – 2009
- 2009
- [c2]Setareh Rafatirad, Amarnath Gupta, Ramesh C. Jain:
Event composition operators: ECO. EIMM@MM 2009: 65-72 - [c1]Amarnath Gupta, Setareh Rafatirad, Mingyan Gao, Ramesh C. Jain:
MEDIALIFE: from images to a life chronicle. SIGMOD Conference 2009: 1119-1122
Coauthor Index
aka: Najmeh Nazari Bavarsad
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