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privacy loss

11 papers

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differential privacy (8) zeroth-order optimization (1) privacy auditing (1) gaussian mechanism (1) privacy accounting (1) privacy loss variable (1) renyi differential privacy (1) objective perturbation (1) empirical risk minimizer (1) fine tuning (1)

Papers

Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness ICLR 2025 Leveraging Per-Instance Privacy for Machine Unlearning ICML 2025 On the Inherent Privacy of Zeroth-Order Projected Gradient Descent AISTATS 2025 Continual Counting with Gradual Privacy Expiration NeurIPS 2024 Differentially Private Decentralized Learning with Random Walks ICML 2024 Finding ε and δ of Traditional Disclosure Control Systems AAAI 2024 One-shot Empirical Privacy Estimation for Federated Learning ICLR 2024 Optimal Accounting of Differential Privacy via Characteristic Function AISTATS 2022 Privately Publishable Per-instance Privacy NeurIPS 2021 Optimal Differential Privacy Composition for Exponential Mechanisms ICML 2020 Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models PGM 2018