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Mohammad Hossein Samavatian
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2020 – today
- 2022
- [c7]Saikat Majumdar, Mohammad Hossein Samavatian, Radu Teodorescu:
Characterizing Side-Channel Leakage of DNN Classifiers though Performance Counters. HOST 2022: 45-48 - [i7]Mohammad Hossein Samavatian, Saikat Majumdar, Kristin Barber, Radu Teodorescu:
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning. CoRR abs/2208.00498 (2022) - 2021
- [c6]Saikat Majumdar, Mohammad Hossein Samavatian, Kristin Barber, Radu Teodorescu:
Using Undervolting as an on-Device Defense Against Adversarial Machine Learning Attacks. HOST 2021: 158-169 - [i6]Mohammad Hossein Samavatian, Saikat Majumdar, Kristin Barber, Radu Teodorescu:
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks. CoRR abs/2106.05825 (2021) - [i5]Saikat Majumdar, Mohammad Hossein Samavatian, Kristin Barber, Radu Teodorescu:
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks. CoRR abs/2107.09804 (2021) - 2020
- [j4]Mohammad Hossein Samavatian, Anys Bacha, Li Zhou, Radu Teodorescu
:
RNNFast: An Accelerator for Recurrent Neural Networks Using Domain-Wall Memory. ACM J. Emerg. Technol. Comput. Syst. 16(4): 38:1-38:27 (2020)
2010 – 2019
- 2019
- [c5]Li Zhou, Mohammad Hossein Samavatian, Anys Bacha, Saikat Majumdar, Radu Teodorescu:
Adaptive parallel execution of deep neural networks on heterogeneous edge devices. SEC 2019: 195-208 - [c4]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. SIGSPATIAL/GIS 2019: 33-42 - [c3]Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. KDD 2019: 2905-2913 - [i4]Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath:
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. CoRR abs/1902.06792 (2019) - [i3]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Rajiv Ramnath:
A Countrywide Traffic Accident Dataset. CoRR abs/1906.05409 (2019) - [i2]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath:
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. CoRR abs/1909.09638 (2019) - 2018
- [i1]Mohammad Hossein Samavatian, Anys Bacha, Li Zhou, Radu Teodorescu:
RNNFast: An Accelerator for Recurrent Neural Networks Using Domain Wall Memory. CoRR abs/1812.07609 (2018) - 2016
- [j3]Hamed Abbasitabar, Mohammad Hossein Samavatian, Hamid Sarbazi-Azad:
ASHA: An adaptive shared-memory sharing architecture for multi-programmed GPUs. Microprocess. Microsystems 46: 264-273 (2016) - [c2]Homa Aghilinasab, Mohammad Sadrosadati, Mohammad Hossein Samavatian, Hamid Sarbazi-Azad:
Reducing Power Consumption of GPGPUs Through Instruction Reordering. ISLPED 2016: 356-361 - 2015
- [j2]Mohammad Hossein Samavatian, Mohammad Arjomand, Ramin Bashizade, Hamid Sarbazi-Azad:
Architecting the Last-Level Cache for GPUs using STT-RAM Technology. ACM Trans. Design Autom. Electr. Syst. 20(4): 55:1-55:24 (2015) - 2014
- [j1]Mahboobeh Houshmand
Automatic translation of quantum circuits to optimized one-way quantum computation patterns. Quantum Inf. Process. 13(11): 2463-2482 (2014) - [c1]Mohammad Hossein Samavatian, Hamed Abbasitabar, Mohammad Arjomand, Hamid Sarbazi-Azad:
An Efficient STT-RAM Last Level Cache Architecture for GPUs. DAC 2014: 197:1-197:6
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