Comments (3)
Hello!
Thank you for using SecML Malware!
So, there are two methods: plot_code_segment
and plot_contribution_header_histogram
.
The first one produces the heatmap with the single contributions, while the second produces the histogram.
I removed from this release the computations of integrated gradients, as it was difficult to generalise to other models that were not MalConv, but I could add that in the future.
To replicate it, you can use the code from the original repo of Integrated Grandients!
Remember that MalConv is differentiable up to the embedding layer, so you need to compute them only up to that.
Then, you sum up th contributions of each embedding, and then you have your vector of contribution to pass to the functions mentioned above!
from secml_malware.
Hello!
Thank you very much for your answer!
I know how to achieve it through your detailed description. I'll try it right away.The SecML Malware is a great tool for my follow-up research.I hope I can seriously learn the implementation of it, which helps me a lot!
Let me thank you again!
from secml_malware.
Thank you for using my library 👍
from secml_malware.
Related Issues (20)
- How to run lightGBM and SOREL model using secml_malware? HOT 2
- No data preprocessing for SorelNet? HOT 2
- Error while running the sample attack code from blackbox_tutorial.ipynb HOT 4
- real sample generation HOT 5
- can't attack EMBER model HOT 1
- Confidence on Microsoft Malware Classification Challenge HOT 10
- Differences Between WhiteBox Attacks HOT 7
- Adding support for QuoVadis models HOT 2
- AttributeError: 'NoneType' object has no attribute 'dos_header' HOT 4
- No such file or directory: 'secml_malware/data/malware_samples/test_folder' HOT 3
- lightGBM and SOREL model weights? HOT 1
- Support for ensemble models HOT 1
- SOREL ATTACK HOT 1
- CGammaSectionsEvasionProblem attack budget HOT 6
- FGSM Attacking Running for days HOT 1
- Train models HOT 5
- Fix numpy retrocompatibility for CClassifierEmber
- issue installing secml-malware with pip with python 3.12
- Wrong ember prediction
- GAMMA section injections might load sections at random
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 secml_malware.