Ngā tūemi rite

• Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training
  mā: Park, Leo Hyun, me ētahi atu.
  I whakaputaina: (2024)
• A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts
  mā: Young, Richard J., me ētahi atu.
  I whakaputaina: (2026)
• MASH: Evading Black-Box AI-Generated Text Detectors via Style Humanization
  mā: Gu, Yongtong, me ētahi atu.
  I whakaputaina: (2026)
• Benchmarking Large Language Models for IoC Recovery under Adversarial Code Obfuscation and Encryption
  mā: Morales, Jaime, me ētahi atu.
  I whakaputaina: (2026)
• Send to which account? Evaluation of an LLM-based Scambaiting System
  mā: Siadati, Hossein, me ētahi atu.
  I whakaputaina: (2025)