3 papers
cs.AR2025
An ECC-based Fault Tolerance Approach for DNNs
Mohsen Raji, Mohammad Zaree, Kimia Soroush
Deep Neural Network (DNN) has achieve great success in solving a wide range of machine learning problems. Recently, they have been deployed in datacenters (potentially for business…
cs.LG2025
Efficient Triple Modular Redundancy for Reliability Enhancement of DNNs Using Explainable AI
Kimia Soroush, Nastaran Shirazi, Mohsen Raji
Deep Neural Networks (DNNs) are widely employed in safety-critical domains, where ensuring their reliability is essential. Triple Modular Redundancy (TMR) is an effective technique…
cs.CV2025
Zero Memory Overhead Approach for Protecting Vision Transformer Parameters
Fereshteh Baradaran, Mohsen Raji, Azadeh Baradaran +2
Vision Transformers (ViTs) have demonstrated superior performance over Convolutional Neural Networks (CNNs) in various vision-related tasks such as classification, object detection…