MindSpore

Installation

  • MindSpore Armour Installation

AI Security

  • Improving Model Security with NAD Algorithm
  • Testing Model Security Using Fuzz Testing
  • Evaluating the Robustness of the OCR Model CNN-CTC
  • Dynamic Model Obfuscation
  • Model Encryption Protection

AI Privacy

  • Protecting User Privacy with Differential Privacy Mechanism
  • Protecting User Privacy with Suppress Privacy
  • Using Membership Inference to Test Model Security

AI Reliability

  • Implementing the Concept Drift Detection Application of Time Series Data
  • Implementing the Concept Drift Detection Application of Image Data
  • Implementing the Model Fault Injection and Evaluation

API References

  • mindarmour
  • mindarmour.adv_robustness.attacks
  • mindarmour.adv_robustness.defenses
  • mindarmour.adv_robustness.detectors
  • mindarmour.adv_robustness.evaluations
  • mindarmour.fuzz_testing
  • mindarmour.natural_robustness.transform.image
  • mindarmour.privacy.diff_privacy
  • mindarmour.privacy.evaluation
  • mindarmour.privacy.sup_privacy
  • mindarmour.reliability
  • mindarmour.utils

References

  • Overall Security and Trustworthiness Design
  • Differential Privacy Design
  • AI Model Security Testing Design
  • MindSpore Armour Module Introduction
  • FAQ

RELEASE NOTES

  • Release Notes
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