Co-occurring keywords · papers mentioning both
Papers
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
NeurIPS 2023
A Pretty Fast Algorithm for Adaptive Private Mean Estimation
COLT 2023
A Privacy-Friendly Approach to Data Valuation
NeurIPS 2023
A Randomized Approach to Tight Privacy Accounting
NeurIPS 2023
A Smooth Binary Mechanism for Efficient Private Continual Observation
NeurIPS 2023
A Unified Fast Gradient Clipping Framework for DP-SGD
NeurIPS 2023
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning
NeurIPS 2023
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
NeurIPS 2023
Bayesian Estimation of Differential Privacy
ICML 2023
Better Private Linear Regression Through Better Private Feature Selection
NeurIPS 2023
Beyond Uniform Lipschitz Condition in Differentially Private Optimization
ICML 2023
Black-Box Differential Privacy for Interactive ML
NeurIPS 2023
Bounding training data reconstruction in DP-SGD
NeurIPS 2023
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
ICLR 2023
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity
NeurIPS 2023
Concurrent Shuffle Differential Privacy Under Continual Observation
ICML 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
ICML 2023
Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation
ICML 2023
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation
NeurIPS 2023
Counting Distinct Elements Under Person-Level Differential Privacy
NeurIPS 2023
Creating a Public Repository for Joining Private Data
NeurIPS 2023
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting
ACL 2023
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning
ICML 2023
Differentially Private L_2-Heavy Hitters in the Sliding Window Model
ICLR 2023
Differentially Private Adapters for Parameter Efficient Acoustic Modeling
Interspeech 2023