$d_X$-Privacy for Text and the Curse of Dimensionality

Documenti analoghi

• Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions
  di: Carpentier, Robin, et al.
  Pubblicazione: (2024)
• Protecting User Prompts Via Character-Level Differential Privacy
  di: Arachchige, Shashie Dilhara Batan, et al.
  Pubblicazione: (2026)
• Practical, Private Assurance of the Value of Collaboration via Fully Homomorphic Encryption
  di: Asghar, Hassan Jameel, et al.
  Pubblicazione: (2023)
• CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMs
  di: Arachchige, Shashie Dilhara Batan, et al.
  Pubblicazione: (2025)
• A Large-Scale Empirical Analysis of Custom GPTs' Vulnerabilities in the OpenAI Ecosystem
  di: Ogundoyin, Sunday Oyinlola, et al.
  Pubblicazione: (2025)