conftrace_

differential privacy

1,207 papers

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Also known as

DP

Co-occurring keywords · papers mentioning both

federated learning (146) stochastic gradient descent (72) sample complexity (68) regret bound (53) privacy-preserving learning (49) privacy preservation (47) privacy-preserving machine learning (43) privacy-utility trade-off (42) synthetic data (37) large language model (36)

Papers

Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024 Differentially Private Decentralized Learning with Random Walks ICML 2024 Differentially Private Deep Learning with Importance-based Adaptive Gradient Processing ACML 2024 Differentially Private Domain Adaptation with Theoretical Guarantees ICML 2024 Differentially Private Equivalence Testing for Continuous Distributions and Applications NeurIPS 2024 Differentially Private Graph Diffusion with Applications in Personalized PageRanks NeurIPS 2024 Differentially Private Knowledge Distillation via Synthetic Text Generation ACL 2024 Differentially private methods for managing model uncertainty in linear regression JMLR 2024 Differentially Private Natural Language Models: Recent Advances and Future Directions EACL 2024 Differentially Private Next-Token Prediction of Large Language Models NAACL 2024 Differentially Private No-regret Exploration in Adversarial Markov Decision Processes UAI 2024 Differentially Private Optimization with Sparse Gradients NeurIPS 2024 Differentially Private Post-Processing for Fair Regression ICML 2024 Differentially Private Reinforcement Learning with Self-Play NeurIPS 2024 Differentially Private Reward Estimation with Preference Feedback AISTATS 2024 Differentially Private Set Representations NeurIPS 2024 Differentially Private Synthetic Data via Foundation Model APIs 1: Images ICLR 2024 Differentially Private Synthetic Data via Foundation Model APIs 2: Text ICML 2024 Differentially Private Topological Data Analysis JMLR 2024 Differentially Private Video Activity Recognition WACV 2024 Differentially Private Worst-group Risk Minimization ICML 2024 Differential Privacy in Scalable General Kernel Learning via K-means Nystr\"om Random Features NeurIPS 2024 Dimension-free Private Mean Estimation for Anisotropic Distributions NeurIPS 2024 Disguise without Disruption: Utility-Preserving Face De-identification AAAI 2024 DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction NeurIPS 2024