Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk

Documenti analoghi

• Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data
  di: Akkus, Atilla, et al.
  Pubblicazione: (2024)
• Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models
  di: Shi, Haonan, et al.
  Pubblicazione: (2025)
• The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks
  di: Chen, Xiaoyi, et al.
  Pubblicazione: (2023)
• Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
  di: Du, Hao, et al.
  Pubblicazione: (2025)
• Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy
  di: Sui, Zhihao, et al.
  Pubblicazione: (2025)