Abstract:
Machine learning is considered as a vital tool for data analysis and decision making in enterprise systems. There is an emerging threat that adversaries can mislead the decision of learning algorithms. Previous security research did not examine the vulnerabilities of learning algorithms. This dissertation provides an insight of these threats, and develops robust learning algorithms for security-sensitive applications.