Comments (4)
This is Ren Pang (♂). Here is the method that generates black/white triggers for ESB attack. Basically, for 3*3 pixel triggers, it generates all combinations (select_point
pixels are black, others are white). Shuffle them and pick the first (num_classes + 1) triggers to train the small classifier (the auxiliary 1 is the class of clean data). After training, all classes will be embedded with their unique triggers.
The mark_path
argument passed to Watermark
class will be ignored, since ESB requires its unique watermark settings. In paper, we compare ESB and other attacks under same transparency and trigger size.
trojanzoo/trojanvision/attacks/backdoor/trojannet.py
Lines 50 to 68 in f236234
But to note that, even though ESB in current repo works already, I'm currently preparing codes and docs for TrojanZoo publication in EuroS&P. ESB is not finished yet and it will surely get changed. Upon your request, I may work on it today and hopefully finish the docs and new codes.
from trojanzoo.
And another thing you may feel interested, the original author of ESB previously complained to me about the low successful rate on transparent trigger cases. He proposed that I should change the training process to make it work, but I haven't applied his suggestion yet. See #46 for more details.
from trojanzoo.
Please ignore all previous replies and read the new docs:
from trojanzoo.
@5RJ I'll close this issue if you have got things solved.
The updated TrojanNet docs should have a clear illustration.
You may click
[source]
to jump to corresponding codes on GitHub.
Feel free to reopen the issue and ask me questions.
from trojanzoo.
Related Issues (20)
- BackdoorAttack class has no argument for source_class HOT 1
- Low effective loading in get_class_subset function HOT 1
- Install newest version fail HOT 1
- Using a custom model HOT 4
- RuntimeError: Dataset not found or corrupted. You can use download=True to download it HOT 10
- Clean label attack accuracy is wrong HOT 5
- In new push model path is not working HOT 1
- badnet folder information HOT 1
- [Error] When I test Neural Cleanse i got a error HOT 2
- Is it possible to apply methods to graph? HOT 6
- Input aware dynamic backdoor error HOT 5
- trojanvision.datasets.ImageFolder HOT 1
- Possible bug: target_class not changed when computing ASR for reversed triggers HOT 2
- problem about saving the intermediate results and config problem HOT 6
- strange mark saved HOT 2
- Hyperparameters for training Resnet18 on CIFAR10? HOT 1
- STRIP implementation doesn't match original codebase HOT 1
- Attack saving and loading is not working HOT 2
- Comp version of networks HOT 2
- Unable to Access Triggered Dataset in BadNet Attack HOT 5
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from trojanzoo.