How To Build Safer Neural Networks In The Age of Smart Devices

This is a world more or less run on smart devices and safety has become the key feature for leading tech enterprises. There is now a push for complete transition into AI enabled devices for smarter, more efficient features. To pack these palm sized gadgets with the advantages ML brings in, the neural networks are compressed (quantization) to make them smaller. Smaller models occupy less space but they are more vulnerable to attacks. When the size of a deep learning model is cut down, errors like misclassification can occur due to an error amplification effect.