Najmeh Nazari

Orcid: 0000-0003-3094-9439

According to our database1, Najmeh Nazari authored at least 27 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Large Language Models for Opioid-Induced Respiratory Depression Prediction in Hospitalized Patients: A Retrospective Study.
ACM Trans. Comput. Heal., April, 2025

Extended Operational Life for Wearable Health Devices: A Hybrid TinyML and Server-Side ML Approach.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Transformers for Secure Hardware Systems: Applications, Challenges, and Outlook.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

2024
Automated Hardware Logic Obfuscation Framework Using GPT.
CoRR, 2024

Transformers: A Security Perspective.
IEEE Access, 2024

Forget and Rewire: Enhancing the Resilience of Transformer-based Models against Bit-Flip Attacks.
Proceedings of the 33rd USENIX Security Symposium, 2024

Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
Proceedings of the 33rd USENIX Security Symposium, 2024

LLM-FIN: Large Language Models Fingerprinting Attack on Edge Devices.
Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

SpecScope: Automating Discovery of Exploitable Spectre Gadgets on Black-Box Microarchitectures.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Architectural Whispers: Robust Machine Learning Models Fingerprinting via Frequency Throttling Side-Channels.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
Adversarial Attacks Against Machine Learning-Based Resource Provisioning Systems.
IEEE Micro, 2023

HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion.
CoRR, 2023

Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization.
IEEE Access, 2023

HeteroScore: Evaluating and Mitigating Cloud Security Threats Brought by Heterogeneity.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Inter-Layer Hybrid Quantization Scheme for Hardware Friendly Implementation of Embedded Deep Neural Networks.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Don't Cross Me! Cross-layer System Security.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
FaCT-LSTM: Fast and Compact Ternary Architecture for LSTM Recurrent Neural Networks.
IEEE Des. Test, 2022

Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks.
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

2021
Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021

E2BNet: MAC-free yet accurate 2-level binarized neural network accelerator for embedded systems.
J. Real Time Image Process., 2021

Security Threats in Cloud Rooted from Machine Learning-Based Resource Provisioning Systems.
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

ELC-ECG: Efficient LSTM Cell for ECG Classification Based on Quantized Architecture.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021

2020
Multi-level Binarized LSTM in EEG Classification for Wearable Devices.
Proceedings of the 28th Euromicro International Conference on Parallel, 2020

2019
TOT-Net: An Endeavor Toward Optimizing Ternary Neural Networks.
Proceedings of the 22nd Euromicro Conference on Digital System Design, 2019


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