Wei-Ning Chen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 42

Top Topics

Differential Privacy

Differentially Private

Top Venues

Publications

Wei-Ning Chen, Graham Cormode, Akash Bharadwaj, Peter Romov, Ayfer Özgür
Federated Experiment Design under Distributed Differential Privacy. AISTATS (2024)
Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu
Mean Estimation under Streaming Differential Privacy. CoRR (2024)
Wei-Ning Chen, Ayfer Özgür
Lower Bounds on Distributed Estimation via Fisher Information. CoRR (2024)
Daria Reshetova, Wei-Ning Chen, Ayfer Özgür
Training Generative Models From Privatized Data via Entropic Optimal Transport. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Yanxiao Liu, Wei-Ning Chen, Ayfer Özgür, Cheuk Ting Li
Universal Exact Compression of Differentially Private Mechanisms. CoRR (2024)
Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. CoRR (2023)
Wei-Ning Chen, Ayfer Özgür, Graham Cormode, Akash Bharadwaj
The communication cost of security and privacy in federated frequency estimation. AISTATS (2023)
Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
Breaking the Communication-Privacy-Accuracy Trilemma. IEEE Trans. Inf. Theory 69 (2) (2023)
Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. NeurIPS (2023)
Wei-Ning Chen, Dan Song, Ayfer Özgür, Peter Kairouz
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation. CoRR (2023)
Wei-Ning Chen, Dan Song, Ayfer Özgür, Peter Kairouz
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation. NeurIPS (2023)
Surin Ahn, Wei-Ning Chen, Ayfer Özgür
Noisy Adaptive Group Testing for Community-Oriented Models. ISIT (2023)
Surin Ahn, Wei-Ning Chen, Ayfer Özgür
Adaptive Group Testing on Networks With Community Structure: The Stochastic Block Model. IEEE Trans. Inf. Theory 69 (7) (2023)
Daria Reshetova, Wei-Ning Chen, Ayfer Özgür
Training generative models from privatized data. CoRR (2023)
Wei-Ning Chen, Graham Cormode, Akash Bharadwaj, Peter Romov, Ayfer Özgür
Federated Experiment Design under Distributed Differential Privacy. CoRR (2023)
Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. NeurIPS (2023)
Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. CoRR (2023)
Wei-Ning Chen, Ayfer Özgür, Peter Kairouz
The Poisson binomial mechanism for secure and private federated learning. CoRR (2022)
Surin Ahn, Wei-Ning Chen, Ayfer Özgür
Estimating Sparse Distributions Under Joint Communication and Privacy Constraints. ISIT (2022)
Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis
Optimal Compression of Locally Differentially Private Mechanisms. AISTATS (2022)
Wei-Ning Chen, Christopher A. Choquette-Choo, Peter Kairouz, Ananda Theertha Suresh
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning. CoRR (2022)
Wei-Ning Chen, Ayfer Özgür, Peter Kairouz
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation. ICML (2022)
Wei-Ning Chen, Ayfer Özgür, Graham Cormode, Akash Bharadwaj
The communication cost of security and privacy in federated frequency estimation. CoRR (2022)
Wei-Ning Chen, Christopher A. Choquette-Choo, Peter Kairouz, Ananda Theertha Suresh
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning. ICML (2022)
Shahab Asoodeh, Wei-Ning Chen, Flávio P. Calmon, Ayfer Özgür
Differentially Private Federated Learning: An Information-Theoretic Perspective. ISIT (2021)
Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
Pointwise Bounds for Distribution Estimation under Communication Constraints. CoRR (2021)
Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints. COLT (2021)
Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints. CoRR (2021)
Abhin Shah, Wei-Ning Chen, Johannes Balle, Peter Kairouz, Lucas Theis
Optimal Compression of Locally Differentially Private Mechanisms. CoRR (2021)
Surin Ahn, Wei-Ning Chen, Ayfer Özgür
Adaptive Group Testing on Networks with Community Structure. CoRR (2021)
Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
Pointwise Bounds for Distribution Estimation under Communication Constraints. NeurIPS (2021)
Surin Ahn, Wei-Ning Chen, Ayfer Özgür
Adaptive Group Testing on Networks with Community Structure. ISIT (2021)
Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
Breaking the Communication-Privacy-Accuracy Trilemma. NeurIPS (2020)
Leighton Pate Barnes, Wei-Ning Chen, Ayfer Özgür
Fisher information under local differential privacy. CoRR (2020)
Wei-Ning Chen, Peter Kairouz, Ayfer Özgür
Breaking the Communication-Privacy-Accuracy Trilemma. CoRR (2020)
Leighton Pate Barnes, Wei-Ning Chen, Ayfer Özgür
Fisher Information Under Local Differential Privacy. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Wei-Ning Chen, I-Hsiang Wang
On the Price of Source Anonymity in Heterogeneous Parametric Point Estimation. ISIT (2019)
Wei-Ning Chen, I-Hsiang Wang
Anonymous Heterogeneous Distributed Detection: Optimal Decision Rules, Error Exponents, and the Price of Anonymity. IEEE Trans. Inf. Theory 65 (11) (2019)
Wei-Ning Chen, Ho-Chun Chen, I-Hsiang Wang
On the Fundamental Limits of Heterogeneous Distributed Detection: Price of Anonymity. ISIT (2018)
Wei-Ning Chen, I-Hsiang Wang
Anonymous Heterogeneous Distributed Detection: Optimal Decision Rules, Error Exponents, and the Price of Anonymity. CoRR (2018)
Ying-Shen Chen, Wei-Ning Chen, Che-Yu Wu, Hsu-Chun Hsiao, Shih-Kun Huang
Dynamic Path Pruning in Symbolic Execution. DSC (2018)
Wei-Ning Chen, I-Hsiang Wang
Partial data extraction via noisy histogram queries: Information theoretic bounds. ISIT (2017)
Chun-Wei Li, Kuo-Ming Chen, Po-Chun Fu, Wei-Ning Chen, Che Lin
Energy-Efficient Deterministic Adaptive Beamforming Algorithms for Distributed Sensor/Relay Networks. CoRR (2015)
Shi-Cho Cha, Pei-Wen Juo, Li-Ting Liu, Wei-Ning Chen
RiskPatrol: A risk management system considering the integration risk management with business continuity processes. ISI (2008)