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Differential Privacy

414 papers

Papers per year

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Papers

Differentially Private k-Means via Exponential Mechanism and Max Cover AAAI 2021
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach AAAI 2021
How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021
Differentially Private Clustering via Maximum Coverage AAAI 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021
Federated f-Differential Privacy AISTATS 2021
Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model EMNLP 2021
Mitigating Data Poisoning in Text Classification with Differential Privacy EMNLP 2021
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning EMNLP 2021
Differentially Private Correlation Clustering ICML 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021
Label-Only Membership Inference Attacks ICML 2021
Differentially-Private Clustering of Easy Instances ICML 2021
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing ICML 2021
Lossless Compression of Efficient Private Local Randomizers ICML 2021
Differentially Private Quantiles ICML 2021
Leveraging Public Data for Practical Private Query Release ICML 2021
Differentially Private Densest Subgraph Detection ICML 2021
Oneshot Differentially Private Top-k Selection ICML 2021
Differentially Private Sliced Wasserstein Distance ICML 2021
PAPRIKA: Private Online False Discovery Rate Control ICML 2021
Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021
Differentially Private Pairwise Learning Revisited IJCAI 2021