Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
Fuente:
arXiv
Saved in:
| Main Authors: | Pour, Alireza F., Ashtiani, Hassan, Asoodeh, Shahab |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Contraction of Locally Differentially Private Mechanisms
by: Asoodeh, Shahab, et al.
Published: (2022)
by: Asoodeh, Shahab, et al.
Published: (2022)
Differentially Private Fair Binary Classifications
by: Ghoukasian, Hrad, et al.
Published: (2024)
by: Ghoukasian, Hrad, et al.
Published: (2024)
Locally Optimal Private Sampling: Beyond the Global Minimax
by: Ghoukasian, Hrad, et al.
Published: (2025)
by: Ghoukasian, Hrad, et al.
Published: (2025)
Exactly Minimax-Optimal Locally Differentially Private Sampling
by: Park, Hyun-Young, et al.
Published: (2024)
by: Park, Hyun-Young, et al.
Published: (2024)
Optimality of Staircase Mechanisms for Vector Queries under Differential Privacy
by: Melbourne, James, et al.
Published: (2026)
by: Melbourne, James, et al.
Published: (2026)
Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples
by: Afzali, Mohammad, et al.
Published: (2023)
by: Afzali, Mohammad, et al.
Published: (2023)
Optimal Fairness under Local Differential Privacy
by: Ghoukasian, Hrad, et al.
Published: (2025)
by: Ghoukasian, Hrad, et al.
Published: (2025)
Agnostic Private Density Estimation for GMMs via List Global Stability
by: Afzali, Mohammad, et al.
Published: (2024)
by: Afzali, Mohammad, et al.
Published: (2024)
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing
by: Nuradha, Theshani, et al.
Published: (2024)
by: Nuradha, Theshani, et al.
Published: (2024)
Subset-Based Instance Optimality in Private Estimation
by: Dick, Travis, et al.
Published: (2023)
by: Dick, Travis, et al.
Published: (2023)
Optimal Rates for Differentially Private Hypothesis Testing with E-values
by: Jacobsen, Ben, et al.
Published: (2026)
by: Jacobsen, Ben, et al.
Published: (2026)
Optimal Guarantees for Auditing Rényi Differentially Private Machine Learning
by: Kim, Benjamin D., et al.
Published: (2026)
by: Kim, Benjamin D., et al.
Published: (2026)
Optimal Differentially Private Sampling of Unbounded Gaussians
by: Iverson, Valentio, et al.
Published: (2025)
by: Iverson, Valentio, et al.
Published: (2025)
Local Differential Privacy with Correlated Noise Achieves Central-DP Optimal Cost
by: Pathegama, Madhura, et al.
Published: (2026)
by: Pathegama, Madhura, et al.
Published: (2026)
Straggler-Resilient Differentially-Private Decentralized Learning
by: Yakimenka, Yauhen, et al.
Published: (2022)
by: Yakimenka, Yauhen, et al.
Published: (2022)
Universal Exact Compression of Differentially Private Mechanisms
by: Liu, Yanxiao, et al.
Published: (2024)
by: Liu, Yanxiao, et al.
Published: (2024)
Adversary-Aware Private Inference over Wireless Channels
by: Seif, Mohamed, et al.
Published: (2025)
by: Seif, Mohamed, et al.
Published: (2025)
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation
by: Vithana, Sajani, et al.
Published: (2024)
by: Vithana, Sajani, et al.
Published: (2024)
GeoClip: Geometry-Aware Clipping for Differentially Private SGD
by: Gilani, Atefeh, et al.
Published: (2025)
by: Gilani, Atefeh, et al.
Published: (2025)
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training
by: Huang, Alyssa, et al.
Published: (2023)
by: Huang, Alyssa, et al.
Published: (2023)
CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness
by: Salehi, Hojat Allah, et al.
Published: (2024)
by: Salehi, Hojat Allah, et al.
Published: (2024)
Online Distribution Learning with Local Private Constraints
by: Sima, Jin, et al.
Published: (2024)
by: Sima, Jin, et al.
Published: (2024)
Property-Preserving Hashing for $\ell_1$-Distance Predicates: Applications to Countering Adversarial Input Attacks
by: Asghar, Hassan, et al.
Published: (2025)
by: Asghar, Hassan, et al.
Published: (2025)
Breaking the Finite-Sample Barrier in Entropy Coupling
by: Asoodeh, Shahab, et al.
Published: (2026)
by: Asoodeh, Shahab, et al.
Published: (2026)
Differentially Private Synthetic High-dimensional Tabular Stream
by: Kumar, Girish, et al.
Published: (2024)
by: Kumar, Girish, et al.
Published: (2024)
An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise
by: Düngler, Johanna, et al.
Published: (2025)
by: Düngler, Johanna, et al.
Published: (2025)
Reveal-or-Obscure: A Differentially Private Sampling Algorithm for Discrete Distributions
by: Tasnim, Naima, et al.
Published: (2025)
by: Tasnim, Naima, et al.
Published: (2025)
CURATE: Scaling-up Differentially Private Causal Graph Discovery
by: Bhattacharjee, Payel, et al.
Published: (2024)
by: Bhattacharjee, Payel, et al.
Published: (2024)
Private Collaborative Edge Inference via Over-the-Air Computation
by: Yilmaz, Selim F., et al.
Published: (2024)
by: Yilmaz, Selim F., et al.
Published: (2024)
STAMP: Selective Task-Aware Mechanism for Text Privacy
by: Tian, Fengwei, et al.
Published: (2026)
by: Tian, Fengwei, et al.
Published: (2026)
Private Counterfactual Retrieval
by: Nomeir, Mohamed, et al.
Published: (2024)
by: Nomeir, Mohamed, et al.
Published: (2024)
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
by: Asi, Hilal, et al.
Published: (2024)
by: Asi, Hilal, et al.
Published: (2024)
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
by: Xie, Songjie, et al.
Published: (2024)
by: Xie, Songjie, et al.
Published: (2024)
Private Counterfactual Retrieval With Immutable Features
by: Meel, Shreya, et al.
Published: (2024)
by: Meel, Shreya, et al.
Published: (2024)
Differentially Private Spectral Graph Clustering: Balancing Privacy, Accuracy, and Efficiency
by: Koskela, Antti, et al.
Published: (2025)
by: Koskela, Antti, et al.
Published: (2025)
Optimal Regret of Bernoulli Bandits under Global Differential Privacy
by: Azize, Achraf, et al.
Published: (2025)
by: Azize, Achraf, et al.
Published: (2025)
PROPS: Progressively Private Self-alignment of Large Language Models
by: Teku, Noel, et al.
Published: (2025)
by: Teku, Noel, et al.
Published: (2025)
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
by: Liu, Hang, et al.
Published: (2023)
by: Liu, Hang, et al.
Published: (2023)
Modular Neural Wiretap Codes for Fading Channels
by: Seifert, Daniel, et al.
Published: (2024)
by: Seifert, Daniel, et al.
Published: (2024)
Differentially Private Synthetic Data with Private Density Estimation
by: Bojkovic, Nikolija, et al.
Published: (2024)
by: Bojkovic, Nikolija, et al.
Published: (2024)
Similar Items
-
Contraction of Locally Differentially Private Mechanisms
by: Asoodeh, Shahab, et al.
Published: (2022) -
Differentially Private Fair Binary Classifications
by: Ghoukasian, Hrad, et al.
Published: (2024) -
Locally Optimal Private Sampling: Beyond the Global Minimax
by: Ghoukasian, Hrad, et al.
Published: (2025) -
Exactly Minimax-Optimal Locally Differentially Private Sampling
by: Park, Hyun-Young, et al.
Published: (2024) -
Optimality of Staircase Mechanisms for Vector Queries under Differential Privacy
by: Melbourne, James, et al.
Published: (2026)