Jorge Cano-Páez

ESupNNet: An Error Supervising Neural Network architecture for error detection against soft errors in parameters

This work proposes an architecture that uses inter-class relations induced by the CNN that needs protection and has minimal resources overhead and does not require modifying the CNN, which makes it a competent solution that can be used with other error protection techniques.