2 papers
cs.LG2026
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…
cs.LG2025
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…