This repository is a short introductory course on the security of neural networks. It covers offensive techniques such as bug hunting, shellcode obfuscation, and model exploitation methods like information extraction and backdooring, along with corresponding defensive strategies. The course provides exercises using Keras with TensorFlow backend, NumPy, SciPy, and other ML libraries, and is accompanied by a published article available on arXiv.