题目：Adversarial Machine Learning
报告人： Fabio Roli 教授 University of Cagliari
摘要： This talk aims to introduce the fundamentals of adversarial machine learning by a well-structured review of recently-proposed techniques to assess the vulnerability of machine-learning algorithms to adversarial attacks (both at training and test time), and some of the most effective countermeasures proposed to date. We report clear application examples including object recognition in images, biometric identity recognition, spam and malware detection. This talk is an excerpt of a larger tutorial that I’m offering in different places (https://www.pluribus-one.it/sec-ml/wildpatterns ).