Privacy
Formal Guarantee
Produces a mathematical or cryptographic guarantee about what an observer can learn about individuals.
3 techniques
3 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Differential Privacy | Algorithmic | Architecture/model Agnostic Requirements/black Box | Any | Differential privacy puts a mathematical limit on what a published result reveals about any one person. The data holder... | ||
| Homomorphic Encryption | Algorithmic | Architecture/linear Models Architecture/model Agnostic +5 | Any | Homomorphic encryption lets a server compute on data that stays encrypted, so the server never sees the underlying... | ||
| Differentially Private Stochastic Gradient Descent | Algorithmic | Architecture/neural Networks Paradigm/parametric +2 | Any | Differentially private stochastic gradient descent (DP-SGD) trains a neural network, or another model fitted by gradient... |
Rows per page
Page 1 of 1