def end(self, session):
orders = [1 + x / 10.0 for x in range(1, 100)] + list(range(12, 64))
samples = session.run(self._samples)
queries = session.run(self._queries)
formatted_ledger = privacy_ledger.format_ledger(samples, queries)
rdp = compute_rdp_from_ledger(formatted_ledger, orders)
eps = get_privacy_spent(orders, rdp, target_delta=1e-5)[0]
print('For delta=1e-5, the current epsilon is: %.2f' % eps)
def end(self, session):
orders = [1 + x / 10.0 for x in range(1, 100)] + list(range(12, 64))
samples = session.run(self._samples)
queries = session.run(self._queries)
formatted_ledger = privacy_ledger.format_ledger(samples, queries)
rdp = compute_rdp_from_ledger(formatted_ledger, orders)
eps = get_privacy_spent(orders, rdp, target_delta=FLAGS.delta)[0]
print('***************************************************')
f=open(FLAGS.record_dir + "/" + FLAGS.record_file, "a+")
f.write('For delta='+ str(FLAGS.delta) + ', the current epsilon is: %.2f \n' % eps)
print('For delta='+ str(FLAGS.delta) + ', the current epsilon is: %.2f' % eps)
f.close()
print('***************************************************')
def calc_epsilon(delta, ledger, sess):
orders = [1 + x / 10. for x in range(1, 100)] + list(range(12, 64))
_samples, _queries = ledger.get_unformatted_ledger()
print("samples: " + str(_samples.shape))
print("queries: " + str(_queries.shape))
samples = sess.run(_samples)
queries = sess.run(_queries)
print("samples: " + str(len(samples)))
print("queries: " + str(len(queries)))
formatted_ledger = privacy_ledger.format_ledger(samples, queries)
rdp = compute_rdp_from_ledger(formatted_ledger, orders)
epsilon = get_privacy_spent(orders, rdp, target_delta=delta)[0]
return (epsilon)