Comments (3)
Hi!
I've just got the results with these parameters by running
python3 attack/imagenet/attack_resnet50.py --epsilon 0.1 --niters 300 --batch_size 50 --save_dir github_issue --method linbp_mdi2fgsm
python3 attack/imagenet/test.py --dir github_issue
I got
Also, here is the result of the `pip list` from the environment I used
Package Version
---------------------- --------
cycler 0.10.0
distro-info 0.21
iotop 0.6
joblib 1.0.0
kiwisolver 1.3.1
matplotlib 3.3.3
numpy 1.19.5
opencv-python-headless 4.5.1.48
pandas 1.2.1
patsy 0.5.1
Pillow 8.1.0
pip 20.3.1
protobuf 3.14.0
pycurl 7.43.0.2
PyGObject 3.30.4
pyparsing 2.4.7
python-apt 1.8.4.2
python-dateutil 2.8.1
pytz 2020.5
scikit-learn 0.24.1
scipy 1.6.0
setuptools 42.0.2
six 1.15.0
sklearn 0.0
statsmodels 0.12.1
tfrecord 1.11
threadpoolctl 2.1.0
torch 1.7.1
torchvision 0.8.2
typing-extensions 3.7.4.3
unattended-upgrades 0.1
wheel 0.36.1
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Could you provide your selected_imagenet.csv
file?
from linbp-attack.
Hi! I checked my csv.file.
My label index is from 0 to 999,but if I change it from 1 to 1000, or I use
then the success rate will be
.
It seems the label mismatching caused my problem. But I wonder if this label mismatching problem will cause some trouble during the attack process?
Thanks a lot!
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