Research

Special Tracks

Focused research tracks within AISEC 2026

Track 1 — AI for Cybersecurity

  • Machine learning-based intrusion detection
  • AI-powered malware analysis and classification
  • Federated learning for privacy-preserving security
  • Deep learning for anomaly detection
  • Natural Language Processing for threat intelligence

Track 2 — Adversarial AI & Security

  • Adversarial attacks on machine learning systems
  • Robustness and defense mechanisms for AI
  • Model poisoning and backdoor attacks
  • Explainability and interpretability in security AI
  • Fairness and bias in AI security systems

Track 3 — Privacy & Trust

  • Privacy-enhancing technologies
  • Differential privacy in machine learning
  • Zero-knowledge proofs and cryptographic protocols
  • Trust management in distributed AI systems
  • GDPR compliance and AI governance

Track 4 — Emerging Technologies

  • Quantum computing and post-quantum cryptography
  • Blockchain security and smart contract auditing
  • Large Language Models (LLMs) security vulnerabilities
  • IoT and edge computing security
  • 5G/6G network security and AI
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