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privacy budget

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differential privacy (29) privacy accounting (3) membership inference attack (3) privacy-utility trade-off (3) utility optimization (3) privacy-preserving machine learning (3) privacy protection (2) dp-sgd (2) dataset distillation (2) gradient clipping (2)

Papers

Differentially Private Quantiles ICML 2021 Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning ICLR 2021 Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NeurIPS 2021 Individual Privacy Accounting via a Rényi Filter NeurIPS 2021 Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021 Privacy Budget Scheduling OSDI 2021 Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning JMLR 2021 Privacy-Preserving Gradient Boosting Decision Trees AAAI 2020 Towards practical differentially private causal graph discovery NeurIPS 2020 Privacy Odometers and Filters: Pay-as-you-Go Composition NeurIPS 2016