DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts

Documenti analoghi

• Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in Large Language Models
  di: Zheng, Yujia, et al.
  Pubblicazione: (2025)
• Efficient Detection of Toxic Prompts in Large Language Models
  di: Liu, Yi, et al.
  Pubblicazione: (2024)
• Goal-guided Generative Prompt Injection Attack on Large Language Models
  di: Zhang, Chong, et al.
  Pubblicazione: (2024)
• FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
  di: Gong, Yichen, et al.
  Pubblicazione: (2023)
• InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models
  di: Li, Hao, et al.
  Pubblicazione: (2024)