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qizhangli avatar qizhangli commented on August 24, 2024

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
image

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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qizhangli avatar qizhangli commented on August 24, 2024

Could you provide your selected_imagenet.csv file?

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Asteriajojo avatar Asteriajojo commented on August 24, 2024

Hi! I checked my csv.file.
image
My label index is from 0 to 999,but if I change it from 1 to 1000, or I use
image then the success rate will be
image.
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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