Eitemau Tebyg

• ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets
  gan: Frikha, Ahmed, et al.
  Cyhoeddwyd: (2024)
• Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey
  gan: Huang, Tiansheng, et al.
  Cyhoeddwyd: (2024)
• Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
  gan: Piran, Fardin Jalil, et al.
  Cyhoeddwyd: (2024)
• Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning
  gan: Li, Shen, et al.
  Cyhoeddwyd: (2024)
• AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source LLMs
  gan: Krishna, Varun Badrinath
  Cyhoeddwyd: (2024)