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Differential Privacy

414 papers

Papers per year

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Papers

Optimal Accounting of Differential Privacy via Characteristic Function AISTATS 2022
Kantorovich Mechanism for Pufferfish Privacy AISTATS 2022
Privacy Amplification by Decentralization AISTATS 2022
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE AISTATS 2022
Differential privacy for symmetric log-concave mechanisms AISTATS 2022
Label differential privacy via clustering AISTATS 2022
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches AISTATS 2022
Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022
Differentially Private Densest Subgraph AISTATS 2022
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting COLING 2022
DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis CVPR 2022
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models EMNLP 2022
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks EMNLP 2022
Large-Scale Differentially Private BERT EMNLP 2022
Privacy-Preserving Models for Legal Natural Language Processing EMNLP 2022
A Joint Exponential Mechanism For Differentially Private Top-$k$ ICML 2022
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making ICML 2022
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data ICML 2022
Differentially Private Approximate Quantiles ICML 2022
Transfer Learning In Differential Privacy’s Hybrid-Model ICML 2022
Adaptive Data Analysis with Correlated Observations ICML 2022
Differentially Private Maximal Information Coefficients ICML 2022
Private Adaptive Optimization with Side information ICML 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization ICML 2022