| # Copyright 2020 Google LLC. |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| """Basic Example for Using Privacy Loss Distributions. |
| """ |
| |
| from absl import app |
| |
| from dp_accounting import privacy_loss_distribution |
| |
| |
| def main(argv): |
| if len(argv) > 1: |
| raise app.UsageError('Too many command-line arguments.') |
| |
| # The parameter of Laplace Noise added |
| parameter_laplace = 3 |
| # PLD for one execution of the Laplace Mechanism. (Throughout we assume that |
| # sensitivity = 1.) |
| laplace_pld = privacy_loss_distribution.PrivacyLossDistribution.from_laplace_mechanism( |
| parameter_laplace, value_discretization_interval=1e-3) |
| |
| # Number of times Laplace Mechanism is run |
| num_laplace = 40 |
| # PLD for num_laplace executions of the Laplace Mechanism. |
| composed_laplace_pld = laplace_pld.self_compose(num_laplace) |
| |
| epsilon = 10 |
| delta = composed_laplace_pld.get_delta_for_epsilon(epsilon) |
| print(f'An algorithm that executes the Laplace Mechanism with parameter ' |
| f'{parameter_laplace} for a total of {num_laplace} times is ' |
| f'({epsilon}, {delta})-DP.') |
| |
| # PLDs for different mechanisms can also be composed. Below is an example in |
| # which we compose PLDs for Laplace Mechanism and Gaussian Mechanism. |
| |
| # STD of the Gaussian Noise |
| standard_deviation = 5 |
| # PLD for an execution of the Gaussian Mechanism. |
| gaussian_pld = privacy_loss_distribution.PrivacyLossDistribution.from_gaussian_mechanism( |
| standard_deviation, value_discretization_interval=1e-3) |
| |
| # PLD for num_laplace executions of the Laplace Mechanism and one execution of |
| # the Gaussian Mechanism. |
| composed_laplace_and_gaussian_pld = composed_laplace_pld.compose(gaussian_pld) |
| |
| epsilon = 10 |
| delta = composed_laplace_and_gaussian_pld.get_delta_for_epsilon(epsilon) |
| print(f'An algorithm that executes the Laplace Mechanism with parameter ' |
| f'{parameter_laplace} for a total of {num_laplace} times and in ' |
| f'addition executes once the Gaussian Mechanism with STD ' |
| f'{standard_deviation} is ({epsilon}, {delta})-DP.') |
| |
| if __name__ == '__main__': |
| app.run(main) |