Adding Data-Free Attacks and More! #1
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More interactive and works with pre set models from the paper
Working correctly and true to the paper
How to use the example and how to replicate the papers testing
Put together a guide from what I have learned from trying this library on 3 different machines
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Add Data-Free Attack Implementation
Changes Overview
New Directory Structure
Added new
data_free_attack/directory containing:data_free_attack/
├── attacks/
│ ├── attack1.py
│ ├── attack2.py
│ └── attack3.py
├── models/
│ ├── generator.py
│ ├── surrogate.py
│ └── victim.py
├── readme.md
└── example.py
Dependency Updates
Version Adjustments
numpy==2.0.1tonumpy>=1.23.5,<2.0.0to resolve conflicts with matplotlib and other dependenciesenvironment.ymlto reflect the new numpy version requirementsNew Required Packages
Added the following dependencies to
requirements.txt:torch-geometric==2.5.0ogb==1.3.6dgl==2.2.1scikit-learn==1.3.0matplotlib==3.7.5README.md
Updated installation documentation:
Purpose
These additions implement data-free attacks functionality within the library. The new modules provide a complete framework for executing and evaluating data-free attacks.
Contact
For questions or clarifications about this PR, please contact me, I am more than happy to help!