UnlearnDiffAtk Benchmark

What is UnlearnDiffAtk Benchmark ?

UnlearnDiffAtk Benchmark is a data visualization tool designed to help users evaluate and compare AI models through the lens of differentiable attacks. It provides an interactive platform to browse and filter results of model evaluations, enabling researchers and developers to understand model vulnerabilities and performance more effectively.

Features

• Precomputed Results: Access a comprehensive repository of precomputed evaluation results for various AI models.
• Interactive Filtering: Use filters to narrow down results based on specific criteria such as model architecture, dataset, or attack types.
• Benchmarking Metrics: Evaluate models using standardized metrics to assess robustness and performance under different attacks.
• Visualization Tools: Utilize charts and graphs to gain insights into how models behave under different attack scenarios.
• Documentation & Support: Access detailed documentation and guides to help you get started and interpret results.
• Extensibility: Easily add new models or datasets to the benchmark for custom evaluations.

How to use UnlearnDiffAtk Benchmark ?

1. Install the Tool: Run the installation command to set up the benchmark and its dependencies.
2. Launch the Dashboard: Start the interactive dashboard to access precomputed results and visualization tools.
3. Filter Results: Use the filtering interface to select specific models, datasets, or attack types.
4. Analyze Visualizations: Explore charts and graphs to understand model performance and vulnerabilities.
5. Export Data: Save results for further analysis or reporting.
6. Extend the Benchmark: Add new models or datasets to the benchmark using the provided tools and documentation.

Frequently Asked Questions

What is the UnlearnDiffAtk Benchmark used for?
The UnlearnDiffAtk Benchmark is used to evaluate and compare AI models based on their robustness against differentiable attacks. It helps identify vulnerabilities and understand model performance under various scenarios.

What types of attacks are supported by UnlearnDiffAtk Benchmark?
The benchmark supports a wide range of differentiable attacks, including gradient-based and black-box attacks. For a full list, refer to the documentation.

How do I install UnlearnDiffAtk Benchmark?
Installation instructions are provided in the documentation. Typically, it involves running a single command to set up the tool and its dependencies.