Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach

Ähnliche Einträge

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