*** 5th ACM Workshop on Artificial Intelligence and Security (AISec'2012) ***
          Held in Conjunction with ACM CCS 2012
          October 19, 2012 -- Sheraton Raleigh, NC, USA

   *** First Call for Papers ***

The applications of artificial intelligence, machine learning, and
data mining for security and privacy problems continue to grow. One
recent trend is the growth of Big Data Analytics and the establishment
of Security Information and Event Management systems built to obtain
security intelligence and situational awareness. With the advent of
cloud computing, every advantage the cloud offers, such as large-scale
machine learning and data-driven abuse detection, is being leveraged
to improve security.

We invite original research papers describing the use of AI or machine
learning in security and privacy problems. We also invite position and
open problem papers discussing the role of AI or machine learning in
security and privacy. Submitted papers of these types may not
substantially overlap papers that have been published previously or
that are simultaneously submitted to a journal or conference/workshop
proceedings. Finally we welcome a new systematization of knowledge
category of papers this year, which should distill the AI or machine
learning contributions of a previously published series of security

Regular research, systematization of knowledge, and open/position
paper submissions must be at most 10 pages in double-column ACM format
(note: pages must be numbered) excluding the bibliography and
well-marked appendices, and at most 12 pages overall. Committee
members are not required to read the appendices, so the paper should
be intelligible without them. Submissions need not be anonymized. We
recommend the use of the ACM SIG Proceedings templates
<http://www.acm.org/sigs/publications/proceedings-templates> for
submissions. The ACM format is the required template for the
camera-ready version. Accepted papers will be published by the ACM
Digital Library and/or ACM Press.

Submissions can be made through EasyChair using the following link:

Topics of interest include, but are not limited to:
* Adversarial Learning
* Robust Statistics
* Online Learning
* Computer Forensics
* Spam detection
* Botnet detection
* Intrusion detection
* Malware identification
* Big data analytics for security
* Adaptive side-channel attacks
* 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,

Submissions due:         July 16, 2012 (23:59 PDT)
Acceptance notification: August 13, 2012
Final manuscript due:    August 24, 2012
Workshop date:           October 19, 2012

General Chair - Ting Yu (North Carolina State University)
Program Co-Chairs - Alvaro A. Cárdenas (Fujitsu Laboratories of America)
                    Blaine Nelson (University of Tübingen)
                    Benjamin I. P. Rubinstein (Microsoft Research)
Program Committee -
Christos Dimitrakakis (Frankfurt Institute for Advanced Studies)
Mario Frank (UC Berkeley)
Giorgio Giacinto (University of Cagliari)
Rachel Greenstadt (Drexel University)
Guofei Gu (Texas A&M University)
Ling Huang (Intel Labs)
Anthony D. Joseph (UC Berkeley)
Murat Kantarcioglu (UT Dallas)
Latifur Khan (UT Dallas)
Pavel Laskov (University of Tübingen)
Justin Ma (UC Berkeley)
Aikaterini Mitrokotsa (EPFL)
Konrad Rieck (University of Göttingen)
Fabio Roli (University of Cagliari)
Elaine Shi (UC Berkeley)
Robin Sommer (ICSI and LBNL)
Natalia Stakhanova (University of South Alabama)
Jessica Staddon (Google)
J. D. Tygar (UC Berkeley)
Shobha Venkataraman (ATT Research)