def test_dp_sum_structure_list(self):
query = privacy.GaussianSumQuery(5.0, 0.0)
def _value_type_fn(value):
del value
return [tff.TensorType(tf.float32), tff.TensorType(tf.float32)]
def _from_anon_tuple_fn(record):
return list(record)
dp_aggregate_fn, _ = differential_privacy.build_dp_aggregate(
query,
value_type_fn=_value_type_fn,
from_anon_tuple_fn=_from_anon_tuple_fn)
def datapoint(a, b):
return [tf.Variable(a, name='a'), tf.Variable(b, name='b')]
data = [
datapoint(1.0, 2.0),
datapoint(2.0, 3.0),
datapoint(6.0, 8.0), # Clipped to 3.0, 4.0
]
initialize, aggregate = wrap_aggregate_fn(dp_aggregate_fn, data[0])
global_state = initialize()
global_state, result = aggregate(global_state, data)
self.assertEqual(getattr(global_state, 'l2_norm_clip'), 5.0)
self.assertEqual(getattr(global_state, 'stddev'), 0.0)
result = list(result)
self.assertEqual(result[0], 6.0)
self.assertEqual(result[1], 9.0)
def test_dp_global_state_type(self):
query = privacy.GaussianSumQuery(5.0, 0.0)
_, dp_global_state_type = differential_privacy.build_dp_aggregate(
query)
self.assertEqual(dp_global_state_type.__class__.__name__,
'NamedTupleTypeWithPyContainerType')
def test_dp_sum(self):
query = privacy.GaussianSumQuery(4.0, 0.0)
dp_aggregate_fn, _ = differential_privacy.build_dp_aggregate(query)
initialize, aggregate = wrap_aggregate_fn(dp_aggregate_fn, 0.0)
global_state = initialize()
global_state, result = aggregate(global_state, [1.0, 3.0, 5.0])
self.assertEqual(getattr(global_state, 'l2_norm_clip'), 4.0)
self.assertEqual(getattr(global_state, 'stddev'), 0.0)
self.assertEqual(result, 8.0)
def test_dp_sum_structure_odict(self):
query = privacy.GaussianSumQuery(5.0, 0.0)
dp_aggregate_fn, _ = differential_privacy.build_dp_aggregate(query)
def datapoint(a, b):
return collections.OrderedDict([('a', (a, )), ('b', [b])])
data = [
datapoint(1.0, 2.0),
datapoint(2.0, 3.0),
datapoint(6.0, 8.0), # Clipped to 3.0, 4.0
]
initialize, aggregate = wrap_aggregate_fn(dp_aggregate_fn, data[0])
global_state = initialize()
global_state, result = aggregate(global_state, data)
self.assertEqual(getattr(global_state, 'l2_norm_clip'), 5.0)
self.assertEqual(getattr(global_state, 'stddev'), 0.0)
self.assertEqual(getattr(result, 'a')[0], 6.0)
self.assertEqual(getattr(result, 'b')[0], 9.0)
