forked from 626_privacy/tensorflow_privacy
28 lines
1.7 KiB
Text
28 lines
1.7 KiB
Text
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# =============================================================================
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rm -rf ./src/results
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mkdir -p ./src/results
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rm -rf ./src/datasets_directory
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mkdir -p ./src/datasets_directory
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dataset="protein_dataset" # 'a1a_dataset', 'synthetic_dataset', 'fmnist_dataset'
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privacy_budget="3.0" # epsilon in DP
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num_iteration_GD="100" # number of iterations for DP-GD
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num_iteration_NT="15" # number of iterations for damped newton
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num_iteration_our="15" # number of iterations for double noise (proposed method)
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$HOME/google-code/dpoptVenv/bin/python3 ./src/run.py --alg_type $'dp_gd' --datasetname $dataset --total $privacy_budget --numiter $num_iteration_GD
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$HOME/google-code/dpoptVenv/bin/python3 ./src/run.py --alg_type $'damped_newton' --datasetname $dataset --total $privacy_budget --numiter $num_iteration_NT --grad_frac $"0.7"
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$HOME/google-code/dpoptVenv/bin/python3 ./src/run.py --alg_type $'double_noise' --datasetname $dataset --total $privacy_budget --numiter $num_iteration_our --grad_frac $"0.7" --trace_frac $"0.1" --trace_coeff $"0.5"
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$HOME/google-code/dpoptVenv/bin/python3 ./src/print_results.py
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