Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning

Documenti analoghi

• Beyond Labeling Oracles: What does it mean to steal ML models?
  di: Shafran, Avital, et al.
  Pubblicazione: (2023)
• Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
  di: Hayes, Jamie, et al.
  Pubblicazione: (2024)
• When Vision Fails: Text Attacks Against ViT and OCR
  di: Boucher, Nicholas, et al.
  Pubblicazione: (2023)
• Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
  di: Thudi, Anvith, et al.
  Pubblicazione: (2023)
• Have it your way: Individualized Privacy Assignment for DP-SGD
  di: Boenisch, Franziska, et al.
  Pubblicazione: (2023)