Adversarial Machine Learning

Combining essential theory and practical techniques for analysing system security, and building robust machine learning in adversarial environments, as well as including case studies on email spam and network security, this complete introduction is an invaluable resource for researchers, practitioners and students in computer security and machine learning.

Combinand teoriile esentiale si tehnicile practice pentru analiza securitatii sistemului si construirea invatarii robuste a masinilor in medii contradictorii, precum si includerea studiilor de caz privind spam-ul prin e-mail si securitatea retelei, aceasta introducere completa este o resursa nepretuita pentru cercetatorii, practicienii si studentii in domeniul securitatii computerului si invatare automata.