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

Adding NonPrivateDpEvent and UnsupportedDpEvent.

Browse source 
PiperOrigin-RevId: 393028308
This commit is contained in:
Galen Andrew 2021-08-25 19:06:51 -07:00 committed by A. Unique TensorFlower
parent 9b48c81b6a
commit 0e04e1baeb
1 changed files with 21 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

21
tensorflow_privacy/privacy/analysis/dp_event.py
View file

@ -37,6 +37,27 @@ class NoOpDpEvent(DpEvent):
""" """
@attr.s(frozen=True)
class NonPrivateDpEvent(DpEvent):
"""A `DpEvent` to represent non-private operations.
This `DpEvent` should be used when an operation is performed that does not
satisfy (epsilon, delta)-DP. All `PrivacyAccountant`s should return infinite
epsilon/delta when encountering a `NonPrivateDpEvent`.
"""
@attr.s(frozen=True)
class UnsupportedDpEvent(DpEvent):
"""A `DpEvent` to represent as-yet unsupported operations.
This `DpEvent` should be used when an operation is performed that does not yet
have any associated DP description, or if the description is temporarily
inaccessible, for example, during development. All `PrivacyAccountant`s should
return `is_supported(event)` is `False` for `UnsupportedDpEvent`.
"""
@attr.s(frozen=True, slots=True, auto_attribs=True) @attr.s(frozen=True, slots=True, auto_attribs=True)
class GaussianDpEvent(DpEvent): class GaussianDpEvent(DpEvent):
"""The Gaussian mechanism.""" """The Gaussian mechanism."""