Alsec 2016 - Workshop of Artificial Intelligence and Security (Alsec 2016)
Topics/Call fo Papers
Artificial Intelligence (AI), and Machine Learning (ML) in particular, provide a set of useful analytic and decision-making techniques that are being leveraged by an ever-growing community of practitioners, including applications with security-sensitive elements. However, while security researchers often utilize such techniques to address problems and AI/ML researchers develop techniques for big-data analytics applications, neither community devotes much attention to the other. Within security research, AI/ML components are often regarded as black-box solvers. Conversely, the learning community seldom considers the security/privacy implications entailed in the application of their algorithms when designing them. While these two communities generally focus on different issues, where these two fields do meet, interesting problems appear. Researchers working in the intersection have already raised many novel questions for both communities and created a new branch of research known as secure learning. AISec serves as the primary meeting place for diverse researchers in security, privacy, AI, and machine learning, and as a venue to develop the fundamental theory and practical applications supporting the use of machine learning for security and privacy. The workshop addresses on this burgeoning community who are especially focused on (among other topics) learning in game-theoretic adversarial environments, privacy-preserving learning, or use of sophisticated new learning algorithms in security.
Last modified: 2016-06-04 12:24:39