Comments (5)
CHR-ray
commented on July 22, 2024
Could you please provide more information? We do not find the same problem when we use it...
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fdszy
commented on July 22, 2024
python ./attack/badnet_attack.py --yaml_path ../config/attack/badnet/tiny.yaml --dataset tiny --dataset_path ../data
That is the command I used.
Thanks for replying
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CHR-ray
commented on July 22, 2024
I try your command, no error found. Maybe you changed some code?
2022-12-16:13:51:59 [INFO ] [badnet_attack.py:146] Getting git info fails.
2022-12-16:13:51:59 [INFO ] [dataset_and_transform_generate.py:206] save the speed up matrix data for train at ../data/tiny
2022-12-16:13:52:33 [INFO ] [dataset_and_transform_generate.py:206] save the speed up matrix data for test at ../data/tiny
2022-12-16:13:52:36 [INFO ] [bd_dataset.py:51] dataset must have NO transform in BOTH image and label !
pre-process bd dataset: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100000/100000 [00:14<00:00, 6798.00it/s]
2022-12-16:13:52:53 [INFO ] [bd_dataset.py:51] dataset must have NO transform in BOTH image and label !
pre-process bd dataset: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10000/10000 [00:01<00:00, 6866.35it/s]
2022-12-16:13:52:55 [INFO ] [backdoor_generate_pindex.py:35] Reminder: plz note that if p_num or pratio exceed the number of possible candidate samples
then only maximum number of samples will be applied
2022-12-16:13:52:55 [INFO ] [backdoor_generate_pindex.py:36] Reminder: priority p_num > pratio, and choosing fix number of sample is prefered if possible
2022-12-16:13:52:55 [INFO ] [backdoor_generate_pindex.py:61] poison num:10000.0,real pratio:0.1
2022-12-16:13:52:55 [INFO ] [bd_dataset.py:51] dataset must have NO transform in BOTH image and label !
pre-process bd dataset: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100000/100000 [00:16<00:00, 6229.53it/s]
2022-12-16:13:53:14 [INFO ] [backdoor_generate_pindex.py:35] Reminder: plz note that if p_num or pratio exceed the number of possible candidate samples
then only maximum number of samples will be applied
2022-12-16:13:53:14 [INFO ] [backdoor_generate_pindex.py:36] Reminder: priority p_num > pratio, and choosing fix number of sample is prefered if possible
2022-12-16:13:53:14 [INFO ] [backdoor_generate_pindex.py:61] poison num:9950.0,real pratio:0.995
2022-12-16:13:53:14 [INFO ] [bd_dataset.py:51] dataset must have NO transform in BOTH image and label !
pre-process bd dataset: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10000/10000 [00:02<00:00, 4197.16it/s]
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XaiverYuan
commented on July 22, 2024
Actually I have the same issue here. I did not modify any code about tiny imagenet and the tiny imagenet i used was downloaded by the sh/timagenet_download.sh
I think there is something wrong that the poison num is 0 in his case.
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XaiverYuan
commented on July 22, 2024
@fdszy I found a solution to deal with it. Change the target class from 0 to 9 could solve this problem when I was trying the default settings (PreActResNet Tiny)
The reason it fails could be something wrong with the default setting in backdoor_generate_pindex.py line 37, the default setting for pidx. (Actually the reason might not be that accurate, but I do solve the problem by doing so)
Thank you for creating all these codes. We will increase your citation count if our paper got published!
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Related Issues (20)
- v2.0 run scripts
- Results for Tiny Imagenet HOT 1
- A data loading problem of LC attack HOT 2
- fine-pruning is missing HOT 1
- Bugs in WaNet All2All Attack HOT 1
- the data of leaderboard(asr of blended to nad) HOT 2
- Attack my own datasets made with videos. HOT 1
- Errors when we execute shell script
- LC attack source HOT 1
- missing resource
- Cannot generate poison data in SSBA algorithm HOT 5
- can not generate trigger for low frequency attack HOT 2
- Target Class of Label-Consistent in the Google Drive
- 您好，很敬佩该工作对于后门攻击的总结。 想请问下为什么 v1 里的 ft_attack 频域后门攻击 在v2 里被移除了呢
- How to use this library in an incremental manner? HOT 1
- Implementation issue with ANP HOT 3
- Poison Index Selection - Clean label case HOT 3
- bpp attack source HOT 2
- Backdoor OneDrive Access Unavailable HOT 5
- About Missing Clean Model for TrojanNN Attack Implementation HOT 2
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