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# SIG Introduction |
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AI Security SIG focus on model security and data privacy protection in the field of artificial intelligence, mainly including the following directions: |
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Trusted AI SIG focus on models and data trust technology in the field of artificial intelligence, mainly including the following directions: |
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: |
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1. **AI Model's robustness and reliability**: Adversarial samples, adversarial training, explainable AI, data concept drift detection and model fault injection. |
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## SIG members description |
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The membership of the AI Security SIG includes Contributors, Committers, and Maintainers, and is recorded in the [members list](./sig_members.yaml). The description and application conditions of each role are as follows: |
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The membership of the Trusted AI SIG includes Contributors, Committers, and Maintainers, and is recorded in the [members list](./sig_members.yaml). The description and application conditions of each role are as follows: |
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### Contributors |
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