CALL FOR PAPERS

Cybersecurity and Trustworthy AI

• Explainable AI / Interpretable models
• Adversarial ML & robustness
• AI ethics, governance, and alignment
• Autonomous decision-making systems
• Federated & distributed learning
• LLM engineering, optimization, and evaluation
• AI verification and safety assurance
• Network and system security
• Malware detection and analysis
• Cyber-physical security
• Malicious software
• Targeted attacks
• Smartphone malware
• Analysis and measurements of real malware incidents
• Worms, viruses, and other propagating malware
• Spyware, keystroke loggers, information theft malware
• Honeypots and other sample collection methodologies
• Botnet attacks, detection/tracking, and defense
• Malware economics and black-market studies
• Code reverse engineering tools and practices
• Malware performance, analysis, and capture tools
• Anti-spam and anti-phishing techniques and practices
• Legal aspects of unwanted software use
• Malware and its impact on social networking and cloud computing
• Rootkit and virtualization techniques
• Malware in wireless mobile devices
• Penetration Testing