Ngā tūemi rite

• Dr. Jekyll and Mr. Hyde: Two Faces of LLMs
  mā: Collu, Matteo Gioele, me ētahi atu.
  I whakaputaina: (2023)
• Multi-Agent Honeypot-Based Request-Response Context Dataset for Improved SQL Injection Detection Performance
  mā: Yu, Hao, me ētahi atu.
  I whakaputaina: (2026)
• A High-Recall Cost-Sensitive Machine Learning Framework for Real-Time Online Banking Transaction Fraud Detection
  mā: R., Karthikeyan V., me ētahi atu.
  I whakaputaina: (2026)
• Closing the Distribution Gap in Adversarial Training for LLMs
  mā: Hu, Chengzhi, me ētahi atu.
  I whakaputaina: (2026)
• Cross-LLM Generalization of Behavioral Backdoor Detection in AI Agent Supply Chains
  mā: Sanna, Arun Chowdary
  I whakaputaina: (2025)