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Privacy
3 posts
Privacy9 minIs Your Model Anonymous? Memorization, Membership Inference and the EDPB's New Anonymisation Guidelines
Does your model still hold personal data? A protocol that maps the EDPB three-criteria test onto measurable attack surfaces: membership inference, training-data extraction and memorization capacity, with what to report.
Privacy10 minMachine Unlearning: Can You Really Make a Model Forget Someone?
Making a model forget a person is nothing like deleting a row from a database. Exact versus approximate unlearning, relearning attacks that bring forgotten behaviour back, the proof problem, and the data architecture that actually works.
Privacy2 minPrivacy-Preserving Learning: Federated Learning and Differential Privacy
You can train a model without centralising the data. Federated learning, differential privacy, the privacy budget, and what these methods actually guarantee.