(WIP) Support to PLD composition #259 #405
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dvadym
reviewed
Feb 24, 2023
| @@ -103,50 +104,70 @@ def compute_sigma(eps: float, delta: float, l2_sensitivity: float): | |||
| delta: The delta value. | |||
| l2_sensitivity: The L2 sensitivity. | |||
| """ | |||
| # TODO: use named arguments, when argument names are added in PyDP on PR | |||
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Thanks for fixing this TODO
| mechanism = dp_mechanisms.LaplaceMechanism(epsilon=eps, | ||
| sensitivity=l1_sensitivity) | ||
| if noise_standard_deviation is not None: | ||
| mechanism = dp_mechanisms.LaplaceMechanism(epsilon=1 / |
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Please add comment that here workaround is used, since we can't set the Laplace parameter directly
| mechanism = MechanismSpec(MechanismType.LAPLACE) | ||
| print(mechanism.noise_standard_deviation()) | ||
| mechanism = MechanismSpec(MechanismType.LAPLACE) | ||
| self.assertEqual(None, mechanism.noise_standard_deviation) |
| count_noise_standard_deviation = \ | ||
| sum_noise_standard_deviation = \ | ||
| 2*dp_params.noise_standard_deviation \ | ||
| if dp_params.noise_standard_deviation is not None \ |
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Nit: maybe something like that
noise_std = None
if dp_params.noise_standard_deviation is not None:
noise_std = 2*dp_params.noise_standard_deviation
count_noise_standard_deviation = sum_noise_standard_deviation = noise_std
| return mechanism.add_noise(1.0 * value) | ||
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| def _add_random_noise( | ||
| value: float, | ||
| eps: float, | ||
| delta: float, | ||
| noise_standard_deviation: float, |
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Description
Solving "Advance composition in PipelineDP" #259
The approach I'm using is:
Tasks:
Additionally:
dp_computations.pyand formatting.request_budgetreceivesnoise_standard_deviation, do you know why? not sure if it is needed, asnoise_standard_deviationis only calculated in compute_budgets.