The number of tools and libraries (both to carry out attacks and to defend from attacks) for developing adversarial examples is constantly growing. We will look at some of the most common examples of these. In this section, we will consolidate the general-use libraries and tools, and in the following sections, we will deal with libraries and specific tools based on the individual strategies and scenarios of attack and defense.
To fully understand the usefulness of these tools and libraries, we need to analyze the vulnerabilities of the cybersecurity solutions based on neural networks, the possibilities involved in the implementation of the attacks, and the difficulties in preparing an appropriate defense.
