11 citations · 14 across the 13 of their papers we have counts for
4 papers · 1 filter
NeuroShield: A Neuro-Symbolic Framework for Adversarial Robustness
Ali Shafiee Sarvestani, Jason Schmidt, Arman Roohi
Adversarial vulnerability and lack of interpretability are critical limitations of deep neural networks, especially in safety-sensitive settings such as autonomous driving. We intr…
ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence
Neeraj Solanki, Sepehr Tabrizchi, Samin Sohrabi +2
ATM-Net is a novel neural network architecture tailored for energy-harvested IoT devices, integrating adaptive termination points with multi-precision computing. It dynamically adj…
Entropy-Based Modeling for Estimating Soft Errors Impact on Binarized Neural Network Inference
Navid Khoshavi, Saman Sargolzaei, Arman Roohi +2
Over past years, the easy accessibility to the large scale datasets has significantly shifted the paradigm for developing highly accurate prediction models that are driven from Neu…
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience
Arman Roohi, Shaahin Angizi, Deliang Fan +1
Herein, a bit-wise Convolutional Neural Network (CNN) in-memory accelerator is implemented using Spin-Orbit Torque Magnetic Random Access Memory (SOT-MRAM) computational sub-arrays…