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ORCIDNajmeh Nazari
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2020 – today
- 2023
[j5]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)- [j4]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) - [c10]Najmeh Nazari, Chongzhou Fang, Sai Manoj P. D., Houman Homayoun:
Don't Cross Me! Cross-layer System Security. DAC 2023: 1-2 - [c9]Najmeh Nazari, Mostafa E. Salehi:
Inter-Layer Hybrid Quantization Scheme for Hardware Friendly Implementation of Embedded Deep Neural Networks. ACM Great Lakes Symposium on VLSI 2023: 193-196 - [c8]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 - [i4]Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, Houman Homayoun:
Large Language Models for Code Analysis: Do LLMs Really Do Their Job? CoRR abs/2310.12357 (2023) - [i3]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
- [j3]Seyed Ahmad Mirsalari, Najmeh Nazari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab:
FaCT-LSTM: Fast and Compact Ternary Architecture for LSTM Recurrent Neural Networks. IEEE Des. Test 39(3): 45-53 (2022) - [c7]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 - 2021
- [j2]Seyed Ahmad Mirsalari, Najmeh Nazari, Seyed Ali Ansarmohammadi, Mostafa E. Salehi, Soheil Ghiasi:
E2BNet: MAC-free yet accurate 2-level binarized neural network accelerator for embedded systems. J. Real Time Image Process. 18(4): 1285-1299 (2021) - [j1]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) - [c6]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 - [c5]Seyed Ahmad Mirsalari, Najmeh Nazari, Seyed Ali Ansarmohammadi, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab:
ELC-ECG: Efficient LSTM Cell for ECG Classification Based on Quantized Architecture. ISCAS 2021: 1-5 - [c4]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 - [c3]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Houman Homayoun:
Security Threats in Cloud Rooted from Machine Learning-Based Resource Provisioning Systems. SVCC 2021: 22-32 - [i2]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
- [c2]Najmeh Nazari, Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab:
Multi-level Binarized LSTM in EEG Classification for Wearable Devices. PDP 2020: 175-181 - [i1]Najmeh Nazari, Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab:
Multi-level Binarized LSTM in EEG Classification for Wearable Devices. CoRR abs/2004.11206 (2020)
2010 – 2019
- 2019
- [c1]Najmeh Nazari, Mohammad Loni, Mostafa E. Salehi, Masoud Daneshtalab, Mikael Sjödin:
TOT-Net: An Endeavor Toward Optimizing Ternary Neural Networks. DSD 2019: 305-312
Coauthor Index
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last updated on 2024-04-25 01:33 CEST by the dblp team
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