Mohammad Hossein Samavatian

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 16

Top Topics

Quantum Computation

Spatiotemporal Data

Machine Learning

Top Venues

Publications

Mohammad Hossein Samavatian, Saikat Majumdar, Kristin Barber, Radu Teodorescu
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning. CoRR (2022)
Saikat Majumdar, Mohammad Hossein Samavatian, Radu Teodorescu
Characterizing Side-Channel Leakage of DNN Classifiers though Performance Counters. HOST (2022)
Saikat Majumdar, Mohammad Hossein Samavatian, Kristin Barber, Radu Teodorescu
Using Undervolting as an on-Device Defense Against Adversarial Machine Learning Attacks. HOST (2021)
Mohammad Hossein Samavatian, Saikat Majumdar, Kristin Barber, Radu Teodorescu
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks. CoRR (2021)
Saikat Majumdar, Mohammad Hossein Samavatian, Kristin Barber, Radu Teodorescu
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks. CoRR (2021)
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) (2020)
Li Zhou, Mohammad Hossein Samavatian, Anys Bacha, Saikat Majumdar, Radu Teodorescu
Adaptive parallel execution of deep neural networks on heterogeneous edge devices. SEC (2019)
Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Rajiv Ramnath
A Countrywide Traffic Accident Dataset. CoRR (2019)
Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. KDD (2019)
Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. CoRR (2019)
Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. SIGSPATIAL/GIS (2019)
Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. CoRR (2019)
Mohammad Hossein Samavatian, Anys Bacha, Li Zhou, Radu Teodorescu
RNNFast: An Accelerator for Recurrent Neural Networks Using Domain Wall Memory. CoRR (2018)
Homa Aghilinasab, Mohammad Sadrosadati, Mohammad Hossein Samavatian, Hamid Sarbazi-Azad
Reducing Power Consumption of GPGPUs Through Instruction Reordering. ISLPED (2016)
Hamed Abbasitabar, Mohammad Hossein Samavatian, Hamid Sarbazi-Azad
ASHA: An adaptive shared-memory sharing architecture for multi-programmed GPUs. Microprocess. Microsystems 46 (2016)
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) (2015)
Mohammad Hossein Samavatian, Hamed Abbasitabar, Mohammad Arjomand, Hamid Sarbazi-Azad
An Efficient STT-RAM Last Level Cache Architecture for GPUs. DAC (2014)
Mahboobeh Houshmand, Morteza Saheb Zamani, Mehdi Sedighi, Mohammad Hossein Samavatian
Automatic translation of quantum circuits to optimized one-way quantum computation patterns. Quantum Inf. Process. 13 (11) (2014)