iAIS 2018 - 2018 International Workshop on Artificial Intelligence and Security (iAIS 2018)

With the advance of Internet of Things, artificial intelligence plays more critical role in improving the resilience of society to both digital and physical threats, and in safeguarding the privacy of individuals. Artificial Intelligence (AI), and Machine Learning (ML) in particular, provide a set of useful analytic and decision-making techniques that are being leveraged by an ever-growing community of practitioners, including applications with security-sensitive elements. In the past few years, we have witnessed increasing interests and numerous significant theoretical and practical developments within AISec community. For example, numerous machine learning techniques have been applied to perform automatic detection of physical and/or cyber threats (malicious software/vulnerabilities) ; Security game theory for both physical and cyber security have been successfully used in homeland security applications and defending cyber-attacks.
This work focuses on theory and practice of artificial intelligence techniques in security. By bringing together academic researchers and industry practitioners in a single location, we would like to create a forum to discuss interesting results both theoretically and empirically related with artificial intelligence and security, The goal of this workshop aims to bring together diverse viewpoints in artificial intelligence and security in an attempt to consolidate the common ground, identify new lines of multi-disciplinary directions, sharing insights into recent results and common challenges, and showcase the application of AI in the domain of security.
Topics
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
Data anonymization/de-anonymization
User authentication
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 CAPTCHA
AI approaches to trust and reputation
Content-driven security policy management & access control
Vulnerability testing through intelligent probing (e.g. fuzzing)
Techniques and methods for generating training and test sets
Anomalous behavior detection