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CALL FOR PAPERS

ACM Workshop on
Artificial Intelligence and Security (AISec) 2015
with ACM Conference on Computer and Communications (CCS), 2015

October 16, 2015, Denver, Colorado, USA

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Workshop Website:
http://www-bcf.usc.edu/~aruneshs/AISec2015.html


Call
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Artificial intelligence (AI), machine learning (ML), and data
mining (DM) are related to a number of emerging security and
privacy problems. Firstly, AI algorithms are part of critical
infrastructures, such as electrical grids, road networks and
healthcare applications. ML is increasingly important for
autonomous real-time analysis and decision-making in domains with
a wealth of data.
The use of learning methods in security sensitive domains creates
new frontiers for security research, in which adversaries may
attempt to mislead or evade intelligent machines. Additionally,
ML and DM techniques create a wealth of privacy issues, due to
the overabudance and accessibility of data. The 2015 ACM Workshop
on Artificial Intelligence and Security (AISec) provides a venue
for presenting and discussing new developments in this fusion of
security/privacy with AI and machine learning.

We invite both original submissions and presentation-only papers,
describing research at the intersection of AI or machine learning
with security, privacy and related problems. We also invite
original position and open problem papers. Finally we again welcome
a 'systematization of knowledge' category of papers, which should
distill the AI or machine learning contributions of a previously
published series of security papers.

Important information
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Submission link: https://www.easychair.org/conferences/?conf=aisec2015
Paper submissions due: 8 June 2015
Author response: 12-14 July 2015
Acceptance notification: 19 July 2015
Camera ready due (FIRM DEADLINE): 29 July 2015
Workshop: Friday October 16, 2015


Keywords
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Topics of interest include, but are not limited to:

- Theoretical topics related to security
Adversarial Learning
Robust Statistics
Online Learning
Learning in games
Economics of security
Differential privacy

- Security applications
Computer Forensics
Spam detection
Phishing detection and prevention
Botnet detection
Intrusion detection and response
Malware identification
Authorship Identification
Big data analytics for security

- Security-related AI problems
Distributed inference and decision making for security
Secure multiparty computation and cryptographic approaches
Privacy-preserving data mining
Adaptive side-channel attacks
Design and analysis of CAPTCHAs
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)

Submissions
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This year we invite both original submissions and presentation-only
papers. Please indicate the type of submission when submitting.

Original submissions: This include original research, systematization
of knowledge, and open problem/position papers. They 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 should be anonymized.
We recommend the use of the ACM SIG Proceedings templates for submission.
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. To meet page numbering requirements, you may use the following
modified "style file" for initial submissions (thanks to Battista Biggio):
modified ACM template. Both research and open problem papers will undergo
a thorough review process.
Presentation-only papers: This year we also invite presentation-only
papers, for research currently under review elsewhere or published anytime
after September 2014. These need not adhere to the ACM format and will not
be published in the proceedings. They will undergo a light review for
correctness, relevance and importance.
Submissions can be made through EasyChair using the following link:
https://www.easychair.org/conferences/?conf=aisec2015

For questions about the submission process, please contact the
workshop co-chairs.

Organizing committee
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Christos Dimitrakakis, Chalmers University of Technology, Sweden
Katerina Mitrokotsa, Chalmers University of Technology, Sweden
Arunesh Sinha, University of Southern California, USA

Program Committee (Tentative List)
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Battista Biggio, University of Cagliari, Italy
Michael Brückner, Amazon.com Inc, Germany
Alvaro Cardenas, University of Texas at Dallas, TX, USA
Kamalika Chaudhuri, University of California at San Diego, CA, USA
Anupam Datta, Carnegie Mellon University, PA, USA
Dave Freeman, Linked In, CA, USA
Joseph Halpern, Cornell University, NY, USA
Alex Kantchelian, UC Berkeley, CA, USA
Pavel Laskov, University of Tübingen, Germany
Daniel Lowd, University of Oregon, OR, USA
Pratyusa Manadhata, HP Labs, USA
Blaine Nelson, University of Potsdam, Germany
Sai Teja Peddinti, Google Inc., USA
Roberto Perdisci, University of Georgia, GA, USA
Konrad Rieck, University of Göttingen, Germany
Fabio Roli, University of Cagliari, Italy
Benjamin Rubinstein, University of Melbourne, Australia
Robin Sommer, ICSI and LBNL, CA, USA
Michael Tschantz, ICSI, Berkeley, CA, USA
Doug Tygar, UC Berkeley, CA, USA
Shobha Venkataraman, AT&T Research, USA