β Scribed by Stanislav Abaimov, Maurizio Martellini
No coin nor oath required. For personal study only.
The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, quantum computers are further pushing the boundaries of what is possible, by making machine learning cyber agents faster and smarter.
With the abundance of often-confusing information and lack of trust in the diverse applications of AI-based technologies, it is essential to have a book that can explain, from a cyber security standpoint, why and at what stage the emerging, powerful technology of machine learning can and should be mistrusted, and how to benefit from it while avoiding potentially disastrous consequences. In addition, this book sheds light on another highly sensitive area β the application of machine learning for offensive purposes, an aspect that is widely misunderstood, under-represented in the academic literature and requires immediate expert attention.
π SIMILAR VOLUMES
## Abstract In this article we propose a distanceβbased classifier for categorizing Arabic text. Each category is represented as a vector of words in an **__m__**βdimensional space, and documents are classified on the basis of their closeness to feature vectors of categories. The classifier, in its