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privacy-preserving-ml

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EthicalML / awesome-production-machine-learning

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A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

machine-learning data-mining awesome deep-learning awesome-list interpretability privacy-preserving production-machine-learning mlops privacy-preserving-machine-learning explainability responsible-ai machine-learning-operations ml-ops ml-operations privacy-preserving-ml large-scale-ml production-ml large-scale-machine-learning
  • Updated Jun 1, 2025

yashmaurya01 / Awesome-ML-Privacy-Mitigations

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A curated collection of privacy-preserving machine learning techniques, tools, and practical evaluations. Focuses on differential privacy, federated learning, secure computation, and synthetic data generation for implementing privacy in ML workflows.

machine-learning privacy awesome-list secure-computation differential-privacy awesome-resources synthetic-data federated-learning privacy-preserving-ml ml-security privacy-preserving-ai ml-privacy privacy-preserving-techniques
  • Updated Jun 9, 2025

hakeematyab / Reliable-Explainable-Brain-Tumor-Segmentation

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A deep learning solution for brain tumor segmentation using multi-modal MRI scans, integrating U-Net models, differential privacy, adversarial training, and explainability (Grad-CAM, attention scores) for robust and trustworthy medical AI.

computer-vision grad-cam medical-imaging unet medical-image-analysis interpretable-ai explainable-ai brain-tumor-segmentation adversarial-training segmentation-models privacy-preserving-ml deep-learning-medical
  • Updated Apr 22, 2025
  • Jupyter Notebook

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