MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers

Ähnliche Einträge

• On the Alignment of Group Fairness with Attribute Privacy
  von: Aalmoes, Jan, et al.
  Veröffentlicht: (2022)
• Privacy Assessment of Federated Learning using Private Personalized Layers
  von: Jourdan, Théo, et al.
  Veröffentlicht: (2021)
• KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
  von: Arazzi, Marco, et al.
  Veröffentlicht: (2024)
• Privacy Against Agnostic Inference Attacks in Vertical Federated Learning
  von: Varasteh, Morteza
  Veröffentlicht: (2023)
• Rethinking Membership Inference Attacks Against Transfer Learning
  von: Wu, Cong, et al.
  Veröffentlicht: (2025)