AI and Machine Learning

Track 18: AI Security, Privacy & Responsible AI

AI Security focuses on protecting artificial intelligence systems, machine learning models, data, and digital infrastructures from emerging threats and vulnerabilities. This track explores AI-powered cybersecurity, adversarial machine learning, threat detection, automated defense, and secure AI architectures. It also addresses privacy-preserving technologies, data protection, secure model development, and trustworthy computing. Discussions will examine AI ethics, fairness, transparency, explainability, governance, and regulatory considerations. The track promotes the development of secure, responsible, reliable, and socially beneficial artificial intelligence systems.

• AI for Cybersecurity and Threat Intelligence

• Adversarial Machine Learning and AI Attacks

• Privacy-Preserving and Secure AI

• AI Ethics, Explainability, Governance & Regulation