We invite original research papers describing the use of AI or Machine Learning in security and privacy problems. We also invite position papers discussing the role of AI or Machine Learning in security and privacy. Submitted papers may not substantially overlap papers that have been published or that are simultaneously submitted to a journal or conference with proceedings.

Research submissions should be at most 8 pages excluding the bibliography and well-marked appendices using double-column, and reasonable margins on letter-size paper, and at most 10 pages total. Committee members are not required to read the appendices, so the paper should be intelligible without them. Position papers should be at most 4 pages long in total using the same guidelines as above. Submissions need not be anonymized. We recommend the use of the ACM SIG Proceedings templates for submission.

Submissions can be made through EasyChair at the following web site: TBD

Topics of interest include, but are not limited to:

* Adversarial Learning
* Robust Statistics
* Online Learning
* Spam detection
* Botnet detection
* Intrusion detection
* Malware identification
* Privacy-preserving data mining
* Design and analysis of CAPTCHAs
* Phishing detection and prevention
* AI approaches to trust and reputation
* Vulnerability testing through intelligent probing (e.g. fuzzing)
* Content-driven security policy management & access control
* Techniques and methods for generating training and test sets
* Anomalous behavior detection (e.g. for the purposes of fraud prevention, authentication)