AISec 2020 : ACM Workshop on Artificial Intelligence and Security

Topics of interest include (but are not limited to):

Theoretical topics related to security

Adversarial learning
Security of deep learning systems
Robust statistics
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 and analysis
Data anonymization/de-anonymization
Security in social networks
Big data analytics for security
User authentication
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 purpose of fraud detection)