Comments (7)
The code of low-frequency trigger generation will be released this week.
from backdoorbench.
Hi, April4lu. Can't wait to see the code of low-frequency trigger generation. Do you plan to release the relevant code this week?
from backdoorbench.
Thank you for your reply. As I know, the repository only provides the Tensorflow version code for lf attack and can only generate the trigger of the Inception model. Therefore, I would like to ask: what adaptation do I need to make to transfer it to other architectures? In addition, can the trigger which is generated by this repository be directly applied to the BackdoorBench?
from backdoorbench.
Thank you for your kindness! Look forward to the release of the relevant codes!
from backdoorbench.
Hi, April4lu. Can't wait to see the code of low-frequency trigger generation. Do you plan to release the relevant code this week?
from backdoorbench.
You can find generation code at https://github.com/SCLBD/BackdoorBench/tree/main/resource/lowFrequency
from backdoorbench.
Ok, thank you very much!
from backdoorbench.
Related Issues (20)
- 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
- RuntimeError: DataLoader worker (pid(s) 35464) exited unexpectedly HOT 1
- How can i use the Vit model.pt ? HOT 1
- can not generate trigger using low frequency attack for resnet18 HOT 1
- low test acc in the lira attack experimental HOT 1
- Is there an error in the calculation of outlier score in spectral.py HOT 2
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