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Update AITG-MOD-05_Testing_for_Inversion_Attacks.md

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- **Regular Privacy Audits**: Regularly perform model inversion attacks against your own models as part of a security audit to proactively identify and mitigate vulnerabilities.
### Suggested Tools for this Specific Test
- **Adversarial Robustness Toolbox (ART)**
- Includes implementations of various model inversion attacks, allowing you to test your model's susceptibility.
- Tool Link: [ART on GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox)
- **TensorFlow Privacy**
- A library for training models with Differential Privacy, which is a primary defense against inversion attacks.
- Tool Link: [TensorFlow Privacy on GitHub](https://github.com/tensorflow/privacy)
- **Opacus (for PyTorch)**
- A library from Meta that enables training PyTorch models with differential privacy.
- Tool Link: [Opacus on GitHub](https://github.com/pytorch/opacus)
- **PrivacyRaven**
- A framework from Trail of Bits specifically designed for privacy testing of deep learning models, including model inversion.
- Tool Link: [PrivacyRaven on GitHub](https://github.com/trailofbits/PrivacyRaven)
- **Adversarial Robustness Toolbox (ART)**: Includes implementations of various model inversion attacks, allowing you to test your model's susceptibility - [ART on GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox)
- **TensorFlow Privacy**: A library for training models with Differential Privacy, which is a primary defense against inversion attacks - [TensorFlow Privacy on GitHub](https://github.com/tensorflow/privacy)
- **Opacus (for PyTorch)**: A library from Meta that enables training PyTorch models with differential privacy - [Opacus on GitHub](https://github.com/pytorch/opacus)
- **PrivacyRaven**: A framework from Trail of Bits specifically designed for privacy testing of deep learning models, including model inversion - [PrivacyRaven on GitHub](https://github.com/trailofbits/PrivacyRaven)
### References
- Fredrikson, Matt, Somesh Jha, and Thomas Ristenpart. "Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures." ACM CCS 2015. [Link](https://dl.acm.org/doi/10.1145/2810103.2813677)