AISec 2011: 4TH ACM Workshop on Artificial Intelligence and Security

Advance Program

8:45 - 9:00
Opening Remarks
Alvaro Cárdenas, Rachel Greenstadt, Ben Rubinstein
9:00 - 10:30
Session 1: Web Content Reputation and Security Primitives
Chair: Justin Ma, UC Berkeley
Judging a site by its content: learning the textual, structural, and visual features of malicious Web pages
Sushma Bannur, Lawrence Saul, Stefan Savage (University of California, San Diego)
Topic Modeling of Freelance Job Postings to Monitor Web Service Abuse
Do-Kyum Kim, Marti Motoyama, Geoffrey M. Voelker, Lawrence Saul (University of California, San Diego)
Evolutionary Construction of de Bruijn Sequences
Meltem Sonmez Turan (NIST)
10:30 - 11:00
Morning Break
11:00 - 12:00
Session 2: Malware
Chair: Roberto Perdisci, University of Georgia
A Comparative Assessment of Malware Classification Using Binary Texture Analysis and Dynamic Analysis
Lakshmanan Nataraj (University of California, Santa Barbara), Vinod Yegneswaran (SRI International), Phil Porras (SRI International), Jian Zhang (Louisiana State University)
ZDVUE: Prioritization of JavaScript Attacks to Surface New Vulnerabilities
Sandeep Karanth, Srivatsan Laxman, Prasad Naldurg, Ramarathnam Venkatesan (Microsoft Research India), J Lambert, Jinwook Shin (Microsoft Corporation)
12:00 - 1:30
Lunch
1:30 - 2:30
Keynote: Machine Learning ∩ Security and Privacy: Experiences and Lessons
Chair: Ben Rubinstein, Microsoft Research
Dawn Song (University of California, Berkeley)
2:30 - 3:30
Session 3: Intrusion Analysis
Chair: Sven Dietrich, Stevens Institute of Technology
Prioritizing Intrusion Analysis Using Dempster-Shafer Theory
Loai Zomlot, Sathya Chandran Sundaramurthy, Kui Luo, Xinming Ou (Kansas State University), Siva Rajagopalan (HP Labs)
An Algorithm to Find Optimal Attack Paths in Nondeterministic Scenarios
Carlos Sarraute, Gerardo Richarte (Core Security Technologies), Jorge Lucangeli Obes (Universidad de Buenos Aires)
3:30 - 4:00
Afternoon Break
4:00 - 4:45
Session 4: Position Papers
Chair: Rachel Greenstadt, Drexel University
Understanding the Risk Factors of Learning in Adversarial Environments
Blaine Nelson, (University of Tübingen) Battista Biggio (University of Cagliari) Pavel Laskov (University of Tübingen)
Artificial Intelligence: a Key to the Future of Cybersecurity
Benoit Morel (Carnegie Mellon University)
Machine Learning in Computer Forensics (and the Lessons Learned from Machine Learning in Computer Security)
Davide Ariu, Giorgio Giacinto, Fabio Roli (University of Cagliari)
4:45 - 5:30
Poster Presentations
Chair: Alvaro Cardenas, Fujitsu Laboratories
On Deployable Adversarial Classification Models
Anshuman Singh, Sumi Singh, Arun Lakhotia, Andrew Walenstein (University of Louisiana at Lafayette)
A Robust One-Class Bayesian Approach for Masquerade Detection
Qifan Wang, Luo Si (Purdue University)
Exploitation as an Inference Problem
David Cock (NICTA and University of New South Wales)
Categorizing CAPTCHA
Sajad Shirali-Shahreza (University of Toronto), Mohammad Shirali-Shahreza (Sharif University of Technology)
Accessibility of CAPTCHA Methods
Sajad Shirali-Shahreza (University of Toronto), M. Hassan Shirali-Shahreza (Amirkabir University of Technology)