enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks
Alessio Colucci,Andreas Steininger,Muhammad Shafique,Alessio Colucci,Andreas Steininger,Muhammad Shafique
Research on Deep Neural Networks (DNNs) has focused on improving performance and accuracy for real-world deployments, leading to new models, such as Spiking Neural Networks (SNNs), and optimization techniques, e.g., quantization and pruning for compressed networks. However, the deployment of these innovative models and optimization techniques introduces possible reliability issues, which is a pill...
