insights.sei.cmu.edu/annual-reviews/2021-research-review/train-but-verify-towards-practical-ai-robustness
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https://insights.sei.cmu.edu/annual-reviews/2021-research-review/train-but-verify-towards-practical-ai-robustness
Train but Verify: Towards Practical AI Robustness
The ML system should neither do the wrong thing when presented with adversarial input nor reveal sensitive information about the training data during its operation.
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Train but Verify: Towards Practical AI Robustness
https://insights.sei.cmu.edu/annual-reviews/2021-research-review/train-but-verify-towards-practical-ai-robustness
The ML system should neither do the wrong thing when presented with adversarial input nor reveal sensitive information about the training data during its operation.
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https://insights.sei.cmu.edu/annual-reviews/2021-research-review/train-but-verify-towards-practical-ai-robustnessTrain but Verify: Towards Practical AI Robustness
The ML system should neither do the wrong thing when presented with adversarial input nor reveal sensitive information about the training data during its operation.
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