AISEC 2012

5th ACM Workshop on Artificial Intelligence and Security


Conference site: CCS'2012

Past AISEC workshops:
2008 2009 2010 2011


The 2012 ACM Workshop on Artificial Intelligence and Security was co-located with CCS - the premier computer security conference - October 19, 2012, in Raleigh, NC USA. As the 5th workshop in the series, AISEC 2012 called for papers on topics related to both AI/learning and security/privacy.

The AISec workshop series complements mainstream venues in security and AI in several ways. While much research in the security and privacy community involves machine learning, the discussion of appropriate application of AI is often cut short or omitted as a detail; it is rare to find new learning algorithms being proposed for previously identified problems in mainstream venues as their focus is (rightly) on new issues in security; proposed adaptive defenses are not always evaluated against an active adversary but rather a fixed dataset gathered before the learning algorithm is deployed; privacy-preserving learning is a rich topic explored in the theory, learning and databases communities but has had less exposure in security; finally in the other direction, security/privacy papers more appropriate for a machine learning venue, or authored by learning researchers, do not always reach a security audience.

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 needs of 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 is not met elsewhere.

Suggested emphasis for 2012. In the past year there has been a surge in the use of Big Data analytics for security. Machine learning, data mining, and other artificial intelligence technologies will play a key role in extracting knowledge, situational awareness, and security intelligence from Big Data, and the establishment of Security Information and Event Management systems. Startups like Click Security, Splunk, IPTrust and established organizations like Q1Labs (now IBM) are already big players in this field, which is poised to continue growing significantly in the coming years.