Wei-Ning Chen

IEEE J. Sel. Areas Inf. Theory, 2024

Randomization Techniques to Mitigate the Risk of Copyright Infringement.

[BibT_eX]

[DOI]

CoRR, 2024

Universal Exact Compression of Differentially Private Mechanisms.

[BibT_eX]

[DOI]

CoRR, 2024

Improved Communication-Privacy Trade-offs in L<sub>2</sub> Mean Estimation under Streaming Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2024

L<sub>q</sub> Lower Bounds on Distributed Estimation via Fisher Information.

[BibT_eX]

[DOI]

CoRR, 2024

Lq Lower Bounds on Distributed Estimation via Fisher Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Over-the-Air Histogram Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

Federated Experiment Design under Distributed Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Adaptive Group Testing on Networks With Community Structure: The Stochastic Block Model.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, July, 2023

Breaking the Communication-Privacy-Accuracy Trilemma.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, February, 2023

Training generative models from privatized data.

[BibT_eX]

[DOI]

Daria Reshetova

CoRR, 2023

Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Noisy Adaptive Group Testing for Community-Oriented Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

The communication cost of security and privacy in federated frequency estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

The Poisson binomial mechanism for secure and private federated learning.

[BibT_eX]

[DOI]

CoRR, 2022

Estimating Sparse Distributions Under Joint Communication and Privacy Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning.

[BibT_eX]

[DOI]

Christopher A. Choquette-Choo

Ananda Theertha Suresh

Proceedings of the International Conference on Machine Learning, 2022

Optimal Compression of Locally Differentially Private Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Pointwise Bounds for Distribution Estimation under Communication Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentially Private Federated Learning: An Information-Theoretic Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Adaptive Group Testing on Networks with Community Structure.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2021

2020

Fisher Information Under Local Differential Privacy.

[BibT_eX]

[DOI]

Leighton Pate Barnes

IEEE J. Sel. Areas Inf. Theory, 2020

2019

Anonymous Heterogeneous Distributed Detection: Optimal Decision Rules, Error Exponents, and the Price of Anonymity.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

On the Price of Source Anonymity in Heterogeneous Parametric Point Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

On the Fundamental Limits of Heterogeneous Distributed Detection: Price of Anonymity.

[BibT_eX]

[DOI]

Ho-Chun Chen

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Dynamic Path Pruning in Symbolic Execution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2018

2017

Partial data extraction via noisy histogram queries: Information theoretic bounds.

[BibT_eX]

[DOI]