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differential privacy

1010 papers

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Also known as

DPDL DP-SGD DP DPSGD MDP LDP

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) sample complexity (1158) privacy preservation (376) privacy-preserving learning (115) regret bound (1918) privacy-preserving machine learning (99) large language model (12755) exponential mechanism (30) online learning (1770)

Papers

Forget Unlearning: Towards True Data-Deletion in Machine Learning ICML 2023
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023
Discrete Distribution Estimation under User-level Local Differential Privacy AISTATS 2023
Domain Private Transformers for Multi-Domain Dialog Systems EMNLP 2023
Differentially Private Matrix Completion through Low-rank Matrix Factorization AISTATS 2023
Online Local Differential Private Quantile Inference via Self-normalization ICML 2023
Differentially Private Synthetic Control AISTATS 2023
Algorithms for bounding contribution for histogram estimation under user-level privacy ICML 2023
Sparsity-Preserving Differentially Private Training of Large Embedding Models NIPS 2023
A Unified Fast Gradient Clipping Framework for DP-SGD NIPS 2023
Model Conversion via Differentially Private Data-Free Distillation IJCAI 2023
On the Fairness Impacts of Private Ensembles Models IJCAI 2023
Private Non-Convex Federated Learning Without a Trusted Server AISTATS 2023
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning NIPS 2023
Learning-augmented private algorithms for multiple quantile release ICML 2023
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting ICML 2023
Privacy-preserving Sparse Generalized Eigenvalue Problem AISTATS 2023
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning UAI 2023
Incentives in Private Collaborative Machine Learning NIPS 2023
Secure Federated Correlation Test and Entropy Estimation ICML 2023
Differentially Private Approximate Near Neighbor Counting in High Dimensions NIPS 2023
On the Gini-impurity Preservation For Privacy Random Forests NIPS 2023
Privacy Auditing with One (1) Training Run NIPS 2023
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners NIPS 2023
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy NIPS 2023