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# Release 0.7.0-beta |
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## Major Features and Improvements |
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### Differential privacy model training |
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* Privacy leakage evaluation. |
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* Using Membership inference to evaluate the effectiveness of privacy-preserving techniques for AI. |
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### Model robustness evaluation |
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* Fuzzing based Adversarial Robustness testing. |
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* Coverage-guided test set generation. |
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## Bugfixes |
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## Contributors |
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Thanks goes to these wonderful people: |
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Liu Liu, Xiulang Jin, Zhidan Liu, Luobin Liu and Huanhuan Zheng. |
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Contributions of any kind are welcome! |
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# Release 0.6.0-beta |
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## Major Features and Improvements |
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