Comments (6)
Thank you, I'll inspect this soon!
from secml_malware.
So, I executed the notebook and it works.
Did you modify some lines of code? Are you using malware inside the folder indicated inside the notebook?
from secml_malware.
Hello, no code changes have been made so far.
At the same time, I have added data in the specified location as required. For details, please see the picture below.
from secml_malware.
Which version of the library are you using? Latest 0.2.3.1?
Because I am unable to replicate this issue.
Are you sure these are all PE files (the goodware)? Because the notebook discards all files that are not PE.
from secml_malware.
I tried to change the data and it works. Thank you very much for the suggestion. Can you share some benign datasets of PE32 please? I would appreciate it if you can. Of course I understand if it is not possible for some reasons.
from secml_malware.
I don't think I can share goodware, but you can either use some regular Windows programs (notepad.exe, calc.exe, etc), or either browse GitHub for them!
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.