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Differential Privacy

409 directly classified papers

Papers per year

Papers

DP-PCA: Statistically Optimal and Differentially Private PCA NIPS 2022
Differentially Private Online-to-batch for Smooth Losses NIPS 2022
Near-Optimal Correlation Clustering with Privacy NIPS 2022
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy NIPS 2022
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization NIPS 2022
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy NIPS 2022
Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion NIPS 2022
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning NIPS 2022
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach AAAI 2021
Differentially Private Quantiles ICML 2021
Lossless Compression of Efficient Private Local Randomizers ICML 2021
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing ICML 2021
Differentially-Private Clustering of Easy Instances ICML 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021
Differentially Private Correlation Clustering ICML 2021
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021
Hiding Numerical Vectors in Local Private and Shuffled Messages IJCAI 2021
Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021
Differentially Private Pairwise Learning Revisited IJCAI 2021
Differentially Private Empirical Risk Minimization under the Fairness Lens NIPS 2021
Instance-optimal Mean Estimation Under Differential Privacy NIPS 2021
Differentially Private Multi-Armed Bandits in the Shuffle Model NIPS 2021
Multiclass versus Binary Differentially Private PAC Learning NIPS 2021
Fast and Memory Efficient Differentially Private-SGD via JL Projections NIPS 2021
Differentially Private Clustering via Maximum Coverage AAAI 2021