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arkhn
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dsPrivacy
A DataShield Differential Privacy Library
Apache License 2.0
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Don't answer the query if epsilon > 100
#26
Jasopaum
closed
1 year ago
0
Pass bounds_X and bounds_y to diffprivlib.models.LinearRegression
#25
Jasopaum
closed
1 year ago
0
Wrap diffprivlib linear regression
#24
Jasopaum
closed
1 year ago
3
Add a high limit value on epsilon
#23
LaRiffle
closed
1 year ago
0
DP linear regression
#22
LaRiffle
opened
1 year ago
0
Add Ntotal to median result
#21
Jasopaum
closed
1 year ago
1
Compute contingency table
#20
Jasopaum
closed
1 year ago
2
Prevent statistical analyses if too few individuals are present in the subset
#19
Jasopaum
closed
8 months ago
2
Implement disclosure control checks
#18
LaRiffle
closed
5 months ago
0
feat: Atomic function to compute basic stats
#17
naudinlo
closed
2 years ago
0
Server-side: Calculations needed to compute the client-side Differential Student-test
#16
naudinlo
closed
2 years ago
0
test: add test for custom covariance and noisy average
#15
LaRiffle
closed
2 years ago
2
Add basic configuration for Python development
#14
LaRiffle
closed
2 years ago
3
Build Python unit tests (with pytest)
#13
LaRiffle
closed
1 year ago
1
Switch to the Python best practices
#12
LaRiffle
closed
2 years ago
0
Cross operations privacy accounting
#11
LaRiffle
opened
2 years ago
8
Implement combine for non-linear functions
#10
LaRiffle
closed
2 years ago
1
Add a test suite
#9
LaRiffle
opened
2 years ago
0
Implement weighted combine for mean, max, min, sum
#8
Jasopaum
closed
2 years ago
0
Test import from datamart in DataShield
#7
Jasopaum
closed
1 year ago
3
Implement Student Test with DP
#6
LaRiffle
closed
2 years ago
1
Implement weighted combine methods with DP
#5
LaRiffle
closed
2 years ago
2
Implement Covariance with DP (without combine)
#4
LaRiffle
closed
2 years ago
0
Add custom implementation of covariance
#3
LaRiffle
closed
2 years ago
2
Initial PoC Datashield with DP
#2
simonvadee
closed
2 years ago
1
Add reticulate wrapping of PyDP functions
#1
Jasopaum
closed
2 years ago
0