From 9fe7106475ada1eebdb195e354df4671ecd6fc85 Mon Sep 17 00:00:00 2001
From: Brett <brettbj@gmail.com>
Date: Tue, 20 Jun 2017 17:10:36 -0400
Subject: [PATCH] privacy calculator

---
 priv_calc.py                      |  47 ++++++++++++++++++++++++++++++
 privacy_accountant/__init__.pyc   | Bin 145 -> 146 bytes
 privacy_accountant/accountant.pyc | Bin 17011 -> 17030 bytes
 privacy_accountant/utils.pyc      | Bin 5262 -> 5269 bytes
 4 files changed, 47 insertions(+)
 create mode 100644 priv_calc.py

diff --git a/priv_calc.py b/priv_calc.py
new file mode 100644
index 0000000..49cf19d
--- /dev/null
+++ b/priv_calc.py
@@ -0,0 +1,47 @@
+import tensorflow as tf
+from privacy_accountant import accountant, utils
+import argparse
+import time
+
+import pickle as pkl
+
+def calc_priv(noise, epochs, training_size, batch_size):
+    privacy_history = []
+    with tf.Session() as sess:
+        eps = tf.placeholder(tf.float32)
+        delta = tf.placeholder(tf.float32)
+
+        num_batches = epochs * (training_size / batch_size)
+        target_eps = [0.125,0.25,0.5,1,2,4,8]
+        priv_accountant = accountant.GaussianMomentsAccountant(training_size)
+
+        print('accum privacy, batches: ' + str(num_batches))
+        priv_start_time = time.clock()
+        privacy_accum_op = priv_accountant.accumulate_privacy_spending(
+          [None, None], args.noise, batch_size)
+        tf.global_variables_initializer().run()
+        for index in range(num_batches):
+            with tf.control_dependencies([privacy_accum_op]):
+                spent_eps_deltas = priv_accountant.get_privacy_spent(
+                    sess, target_eps=target_eps)
+                privacy_history.append(spent_eps_deltas)
+            sess.run([privacy_accum_op])
+
+        print('priv time: ', time.clock() - priv_start_time)
+
+        if spent_eps_deltas[-3][1] > 0.0001:
+            raise Exception('spent privacy')
+
+    pkl.dump(privacy_history, open('./privacy/' + str(noise) + '_' +
+             str(epochs) + '_' + str(training_size) + '_' + str(batch_size) +
+             '.p', 'wb'))
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--noise", type=float, default=8)
+    parser.add_argument("--epochs", type=int, default=500)
+    parser.add_argument("--training_size", type=int, default=6000)
+    parser.add_argument("--batch_size", type=int, default=1)
+    args = parser.parse_args()
+
+    calc_priv(args.noise, args.epochs, args.training_size, args.batch_size)
diff --git a/privacy_accountant/__init__.pyc b/privacy_accountant/__init__.pyc
index 0c6adb8e20df99e9a3cddf4e6026894f0b32a1ac..382fe3129693849a7d0a2f4656c89a9c94e6b983 100644
GIT binary patch
delta 30
lcmbQpIEj&i`7<xq!zRzji5#X})(i{``k}?CMa2`{ya9x%2(|zK

delta 29
kcmbQlIFXTq`7<w9x$BRJi5#Y!RtyXb`WgATsT1A30ef}`Qvd(}

diff --git a/privacy_accountant/accountant.pyc b/privacy_accountant/accountant.pyc
index 149cfc6711590bfa680f7919711e4f6e5b10e07b..84bba6c8efff5ae2c0d0e0fefcea692a2cbe09e1 100644
GIT binary patch
delta 388
zcmey|!r0cz$j<zkm+N7Z=SKEJY+SYs3=I0A#i>QblQ*hcZ02G&XGIrl;^|{T6Pp~!
zUxO-SzL{5GArHFPJDGS!R56RqeR9`WP{qtAIk0YCshomt%Vs~dC}i!MH>w|HM$<ZZ
zoAydHq0RGksyWcbqD*(8*=n&l)M`G4aVB=LXj&&<w0n;xG|6Eyn#knK4tD55fsUI{
Lg)An!IOzibaesG7

delta 363
zcmZo`W&GU2$j<zkmunKY^hWkWY@9X>3=H}i`MIf+<(+Ic^RpYXq6k@RZsF-;LKT`E
z!e4_VqHk)kSx8_34~me@<{vUqj7UQAP8OS|$X#PW5&~&lqnv?e`sOe-42_@Edzn!+
zPClr;0##)5YMm+$gwSSv(~roOf$UGRnvZUbvt0~A&t#yBCO@=$hbAKEFbPfMse>(=
NNQ&b|BoTS1bO4VqWb*(3

diff --git a/privacy_accountant/utils.pyc b/privacy_accountant/utils.pyc
index 4596230f6c3ecb8648e88c76401f4627d72e9496..ed8307f7e5ec86a82f8062064902f19dac5a8129 100644
GIT binary patch
delta 151
zcmeCvoT|ye{F#^QVUuU%Mh<@_E(-<*2K~_D)S}|e2~4%f{K*MS#+xNsyI7FafW_`}
ereTOR@_k}NSGQhZ0=jvVtA*F0DVv-sq6q+aJ1SHF

delta 140
zcmbQL*{8|D{F#@l-1SGqMh<@_PICqZ2K|iu+|<p9Otnbd$%#zHo26O1SP&|}LXSAp
g(1lw0J~1LxZEh4ejAqW{M&We`1t4Q4=ZI(m0EI9nX8-^I