#!/bin/bash # Copyright 2017 The 'Scalable Private Learning with PATE' Authors All Rights Reserved. # # 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. # ============================================================================== echo "Reproducing Table 2. Takes a couple of hours." executable="python smooth_sensitivity_table.py" data_dir="data" echo echo "######## MNIST ########" echo $executable \ --counts_file=$data_dir"/mnist_250_teachers.npy" \ --threshold=200 \ --sigma1=150 \ --sigma2=40 \ --queries=640 \ --delta=1e-5 echo echo "######## SVHN ########" echo $executable \ --counts_file=$data_dir"/svhn_250_teachers.npy" \ --threshold=300 \ --sigma1=200 \ --sigma2=40 \ --queries=8500 \ --delta=1e-6 echo echo "######## Adult ########" echo $executable \ --counts_file=$data_dir"/adult_250_teachers.npy" \ --threshold=300 \ --sigma1=200 \ --sigma2=40 \ --queries=1500 \ --delta=1e-5 echo echo "######## Glyph (Confident) ########" echo $executable \ --counts_file=$data_dir"/glyph_5000_teachers.npy" \ --threshold=1000 \ --sigma1=500 \ --sigma2=100 \ --queries=12000 \ --delta=1e-8 echo echo "######## Glyph (Interactive, Round 1) ########" echo $executable \ --counts_file=$data_dir"/glyph_round1.npy" \ --threshold=3500 \ --sigma1=1500 \ --sigma2=100 \ --delta=1e-8 echo echo "######## Glyph (Interactive, Round 2) ########" echo $executable \ --counts_file=$data_dir"/glyph_round2.npy" \ --baseline_file=$data_dir"/glyph_round2_student.npy" \ --threshold=3500 \ --sigma1=2000 \ --sigma2=200 \ --teachers=5000 \ --delta=1e-8