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Differential Privacy

409 directly classified papers

Papers per year

Papers

Leveraging Public Data for Practical Private Query Release ICML 2021
Differentially Private Densest Subgraph Detection ICML 2021
Single and Multiple Change-Point Detection with Differential Privacy JMLR 2021
Privately Publishable Per-instance Privacy NIPS 2021
FLAME: Differentially Private Federated Learning in the Shuffle Model AAAI 2021
Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021
Differentially Private k-Means via Exponential Mechanism and Max Cover AAAI 2021
How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NIPS 2021
Federated f-Differential Privacy AISTATS 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021
Differentially Private Link Prediction with Protected Connections AAAI 2021
Differentially Private and Communication Efficient Collaborative Learning AAAI 2021
Oneshot Differentially Private Top-k Selection ICML 2021
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification INTERSPEECH 2021
Differentially Private Sliced Wasserstein Distance ICML 2021
PAPRIKA: Private Online False Discovery Rate Control ICML 2021
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms UAI 2021
Label-Only Membership Inference Attacks ICML 2021
Differentially Private Stochastic Coordinate Descent AAAI 2021
Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning EMNLP 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