TOT-Net: An Endeavor Toward Optimizing Ternary Neural Networks. - Najmeh Nazari; Mohammad Loni; Mostafa E. Salehi; Masoud Daneshtalab; Mikael Sjödin (DSD, 2019)

Multi-level Binarized LSTM in EEG Classification for Wearable Devices. - Najmeh Nazari; Seyed Ahmad Mirsalari; Sima Sinaei; Mostafa E. Salehi; Masoud Daneshtalab (PDP, 2020)

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

ELC-ECG: Efficient LSTM Cell for ECG Classification Based on Quantized Architecture. - Seyed Ahmad Mirsalari; Najmeh Nazari; Seyed Ali Ansarmohammadi; Sima Sinaei; Mostafa E. Salehi; Masoud Daneshtalab (ISCAS, 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)

Security Threats in Cloud Rooted from Machine Learning-Based Resource Provisioning Systems. - Hosein Mohammadi Makrani; Hossein Sayadi; Najmeh Nazari; Houman Homayoun (SVCC, 2021)

E2BNet: MAC-free yet accurate 2-level binarized neural network accelerator for embedded systems. - Seyed Ahmad Mirsalari; Najmeh Nazari; Seyed Ali Ansarmohammadi; Mostafa E. Salehi; Soheil Ghiasi (J. Real Time Image Process., 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)

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)

FaCT-LSTM: Fast and Compact Ternary Architecture for LSTM Recurrent Neural Networks. - Seyed Ahmad Mirsalari; Najmeh Nazari; Sima Sinaei; Mostafa E. Salehi; Masoud Daneshtalab (IEEE Des. Test, 2022)

Don't Cross Me! Cross-layer System Security. - Najmeh Nazari; Chongzhou Fang; Sai Manoj P. D.; Houman Homayoun (DAC, 2023)

Inter-Layer Hybrid Quantization Scheme for Hardware Friendly Implementation of Embedded Deep Neural Networks. - Najmeh Nazari; Mostafa E. Salehi (ACM Great Lakes Symposium on VLSI, 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)

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)

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)

Large Language Models for Code Analysis: Do LLMs Really Do Their Job? - Chongzhou Fang; Ning Miao; Shaurya Srivastav; Jialin Liu 006; Ruoyu Zhang; Ruijie Fang; Asmita 001; Ryan Tsang; Najmeh Nazari; Han Wang 020; Houman Homayoun (USENIX Security Symposium, 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)

Transformers: A Security Perspective. - Banafsheh Saber Latibari; Najmeh Nazari; Muhtasim Alam Chowdhury; Kevin Immanuel Gubbi; Chongzhou Fang; Sujan Ghimire; Elahe Hosseini; Hossein Sayadi; Houman Homayoun; Soheil Salehi; Avesta Sasan (IEEE Access, 2024)

Automated Hardware Logic Obfuscation Framework Using GPT. - Banafsheh Saber Latibari; Sujan Ghimire; Muhtasim Alam Chowdhury; Najmeh Nazari; Kevin Immanuel Gubbi; Houman Homayoun; Avesta Sasan; Soheil Salehi (CoRR, 2024)

Transformers for Secure Hardware Systems: Applications, Challenges, and Outlook. - Banafsheh Saber Latibari; Najmeh Nazari; Avesta Sasan; Houman Homayoun; Pratik Satam; Soheil Salehi; Hossein Sayadi (ACM Great Lakes Symposium on VLSI, 2025)

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)

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)