11th international workshop on artificial intelligence and security (AISec 2018)

Sadia Afroz, Battista Biggio, Yuval Elovici, David Freeman, Asaf Shabtai

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018

BACKGROUNDArtificial 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 …