/
generate_students.py
47 lines (37 loc) · 2.03 KB
/
generate_students.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
# -*- coding: utf-8 -*-
"""
@author: Abderrahmen Amich
@email: aamich@umich.edu
"""
from absl import app, flags
from mtd import generate_students
from sys import argv, exit, stderr
if __name__ == "__main__":
#### User configuration ####
if len(argv) < 6 or len(argv) > 9:
print('Use: {} [data_name] [batch_number] [p] [n] [lambda] [batch_size=128] [epsilon=0.3] [max_iter=50]'.format(argv[0]), file=stderr)
exit(1)
elif len(argv) >= 6:
flags.DEFINE_string("data", argv[1], "used dataset.")
flags.DEFINE_string("models_batch", argv[2], "the starting batch of student models.")
flags.DEFINE_integer("n", argv[4], "Number of student models.")
flags.DEFINE_integer("p", argv[3], "Number of adv-trained student models.")
flags.DEFINE_float("lamda", argv[5], "Noise scale.")
flags.DEFINE_integer("test_set", 5000, "test set size.")
if len(argv) == 6:
flags.DEFINE_integer("batch", 128, "batch size.")
flags.DEFINE_float("eps", 0.3, "Total epsilon for attacks.")
flags.DEFINE_integer("max_iter", 50, "maximum number of iteration to reach max robustness.")
elif len(argv) == 7:
flags.DEFINE_integer("batch",argv[6] , "batch size.")
flags.DEFINE_float("eps", 0.3, "Total epsilon for attacks.")
flags.DEFINE_integer("max_iter", 50, "maximum number of iteration to reach max robustness.")
elif len(argv) == 8:
flags.DEFINE_integer("batch",argv[6] , "batch size.")
flags.DEFINE_float("eps", argv[7], "Total epsilon for attacks.")
flags.DEFINE_integer("max_iter", 50, "maximum number of iteration to reach max robustness.")
elif len(argv) == 9:
flags.DEFINE_integer("batch",argv[6] , "batch size.")
flags.DEFINE_float("eps", argv[7], "Total epsilon for attacks.")
flags.DEFINE_integer("max_iter", argv[8], "maximum number of iteration to reach max robustness.")
app.run(generate_students)