A deep neural network or DNN progressively gains the ability to learn complex representations as it goes deeper, enabling it to perform image classification and speech recognition tasks. On the flip side, making DNNs deeper comes with increased inference-time computational demands. To remediate this, researchers have devised multi-exit architectures where deeper networks fix mistakes of…

The post Robustness Of Multi-Exit Architectures Against Adversarial Attacks appeared first on Analytics India Magazine.