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Privacy

2,847 papers

Papers per year

18
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Papers

Principled Approaches for Private Adaptation from a Public Source AISTATS 2023
Discrete Distribution Estimation under User-level Local Differential Privacy AISTATS 2023
On the Privacy Risks of Algorithmic Recourse AISTATS 2023
Near-Optimal Differentially Private Reinforcement Learning AISTATS 2023
Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023
A Blessing of Dimensionality in Membership Inference through Regularization AISTATS 2023
Robust Estimation of Discrete Distributions under Local Differential Privacy ALT 2023
Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses ALT 2023
Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets COLT 2023
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap COLT 2023
A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints COLT 2023
Causal Matrix Completion COLT 2023
Algorithmically Effective Differentially Private Synthetic Data COLT 2023
Differentially Private and Lazy Online Convex Optimization COLT 2023
Ticketed Learning–Unlearning Schemes COLT 2023
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples CVPR 2023
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models CVPR 2023
Re-Thinking Model Inversion Attacks Against Deep Neural Networks CVPR 2023
How to Backdoor Diffusion Models? CVPR 2023
Color Backdoor: A Robust Poisoning Attack in Color Space CVPR 2023
Learning To Generate Image Embeddings With User-Level Differential Privacy CVPR 2023
Backdoor Cleansing With Unlabeled Data CVPR 2023
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning CVPR 2023