renyi differential privacy

Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness ICLR 2025 Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach ICLR 2024 Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement NeurIPS 2024 Functional Renyi Differential Privacy for Generative Modeling NeurIPS 2023 TAN Without a Burn: Scaling Laws of DP-SGD ICML 2023 Bounding Training Data Reconstruction in Private (Deep) Learning ICML 2022 Hyperparameter Tuning with Renyi Differential Privacy ICLR 2022 Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022 Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning NeurIPS 2022 Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning NeurIPS 2021 Improving Sparse Vector Technique with Renyi Differential Privacy NeurIPS 2020 Poission Subsampled Rényi Differential Privacy ICML 2019 Renyi Differentially Private ERM for Smooth Objectives AISTATS 2019 Subsampled Renyi Differential Privacy and Analytical Moments Accountant AISTATS 2019 Renyi Differential Privacy Mechanisms for Posterior Sampling NeurIPS 2017