conftrace_

differentially private stochastic gradient descent

9 papers

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Also known as

DPSGD DP-SGD

Co-occurring keywords · papers mentioning both

differential privacy (7) gradient clipping (2) privacy-preserving deep learning (1) adaptive batch linear queries (1) feature preprocessing (1) probabilistic user modeling (1) gradient misalignment (1) dp-sgd (1) ablq (1) shuffling (1)

Papers

Differentially Private 2D Human Pose Estimation CVPR 2026 Privacy-Preserving Neural Processes for Probabilistic User Modeling UAI 2025 DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction NeurIPS 2024 How Private are DP-SGD Implementations? ICML 2024 Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation ICML 2024 The importance of feature preprocessing for differentially private linear optimization ICLR 2024 Disparate Impact in Differential Privacy from Gradient Misalignment ICLR 2023 Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels JMLR 2023 Large Language Models Can Be Strong Differentially Private Learners ICLR 2022