The module godiffpriv
Godiffpriv is a golang module for help to work differential privacy in golang projects. The module has support to queries with numeric and symbolic values. Besides, we apply the probability Laplace distribution to generate a random numbers.
How it works?
Data Type:
- Numeric data should be float64 array
- Symbolic data should be string array
How to use?
Install:
go get github.com/eriksonJAguiar/godiffpriv
Import:
import "github.com/eriksonJAguiar/godiffpriv"
Hello world:
package main
import (
"encoding/json"
"fmt"
"github.com/eriksonJAguiar/godiffpriv"
)
func main() {
data := []string{"Male", "Female", "Male", "Female"}
val := godiffpriv.PrivateDataFactory(data)
epsilon:= 1
res, _ := val.ApplyPrivacy(epsilon)
var response map[string]float64
err := json.Unmarshal(res, &response)
if err != nil {
fmt.Println(err.Error())
} else {
fmt.Println(response)
}
}
package main
import (
"encoding/json"
"fmt"
"github.com/eriksonJAguiar/godiffpriv"
)
func main() {
data := []float64{1.5, 2.3, 7.2, 9.1}
val := godiffpriv.PrivateDataFactory(data)
epsilon:= 1
res, _ := val.ApplyPrivacy(epsilon)
var response map[string]float64
err := json.Unmarshal(res, &response)
if err != nil {
fmt.Println(err.Error())
} else {
fmt.Println(response)
}
}