ruby/tensorflow_privacy
1
0
Fork 0
forked from 626_privacy/tensorflow_privacy
Code Pull requests Activity

Merge pull request #14 from badbayesian:master

Browse source 
PiperOrigin-RevId: 229631674
This commit is contained in:
A. Unique TensorFlower 2019-01-16 14:56:22 -08:00
commit 87ec1a2e77
1 changed files with 2 additions and 2 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

4
research/pate_2018/smooth_sensitivity.py
View file

@ -261,7 +261,7 @@ def compute_local_sensitivity_bounds_threshold(counts, num_teachers, threshold,
"""Computes a list of max-LS-at-distance-d for the threshold mechanism."""
def _compute_ls(v):
ls_step_up, ls_step_down = None, None
ls_step_up, ls_step_down = float("-inf"), float("-inf")
if v > 0:
ls_step_down = abs(rdp_list[v - 1] - rdp_list[v])
if v < num_teachers:
@ -273,7 +273,7 @@ def compute_local_sensitivity_bounds_threshold(counts, num_teachers, threshold,
ls = np.zeros(num_teachers)
for d in range(max(cur_max, num_teachers - cur_max)):
ls_up, ls_down = None, None
ls_up, ls_down = float("-inf"), float("-inf")
if cur_max + d <= num_teachers:
ls_up = _compute_ls(cur_max + d)
if cur_max - d >= 0: