Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach

Documenti analoghi

• DP-TabICL: In-Context Learning with Differentially Private Tabular Data
  di: Carey, Alycia N., et al.
  Pubblicazione: (2024)
• Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
  di: Hidano, Seira, et al.
  Pubblicazione: (2022)
• Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations
  di: Hong, Sanghyun, et al.
  Pubblicazione: (2025)
• Local Differential Privacy is Not Enough: A Sample Reconstruction Attack against Federated Learning with Local Differential Privacy
  di: You, Zhichao, et al.
  Pubblicazione: (2025)
• DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy
  di: Zhang, Qiuchen, et al.
  Pubblicazione: (2022)