Differentially Private Computation of Basic Reproduction Numbers in Networked Epidemic Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Chen, Bo, She, Baike, Hawkins, Calvin, Benvenuti, Alex, Fallin, Brandon, Paré, Philip E., Hale, Matthew |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Differentially Private Data-Driven Markov Chain Modeling
por: Benvenuti, Alexander, et al.
Publicado: (2026)
por: Benvenuti, Alexander, et al.
Publicado: (2026)
Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy
por: Chen, Bo, et al.
Publicado: (2025)
por: Chen, Bo, et al.
Publicado: (2025)
Distributed Reproduction Numbers of Networked Epidemics
por: She, Baike, et al.
Publicado: (2023)
por: She, Baike, et al.
Publicado: (2023)
Differential Privacy for Symbolic Trajectories via the Permute-and-Flip Mechanism
por: Benvenuti, Alexander, et al.
Publicado: (2026)
por: Benvenuti, Alexander, et al.
Publicado: (2026)
Modeling Epidemic Spread: A Gaussian Process Regression Approach
por: She, Baike, et al.
Publicado: (2023)
por: She, Baike, et al.
Publicado: (2023)
Reverse Engineering the Reproduction Number: A Framework for Data-Driven Counterfactual Analysis, Strategy Evaluation, and Feedback Control of Epidemics
por: She, Baike, et al.
Publicado: (2023)
por: She, Baike, et al.
Publicado: (2023)
Reconciling Security and Utility in Next-Generation Epidemic Risk Mitigation Systems
por: Ingo, Pierfrancesco, et al.
Publicado: (2020)
por: Ingo, Pierfrancesco, et al.
Publicado: (2020)
Differential Privacy for Network Connectedness Indices
por: Rutter, Tom A., et al.
Publicado: (2026)
por: Rutter, Tom A., et al.
Publicado: (2026)
Aim High, Stay Private: Differentially Private Synthetic Data Enables Public Release of Behavioral Health Information with High Utility
por: Ghasemizade, Mohsen, et al.
Publicado: (2025)
por: Ghasemizade, Mohsen, et al.
Publicado: (2025)
On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics
por: She, Baike, et al.
Publicado: (2021)
por: She, Baike, et al.
Publicado: (2021)
Differentially Private Reward Functions in Policy Synthesis for Markov Decision Processes
por: Benvenuti, Alexander, et al.
Publicado: (2023)
por: Benvenuti, Alexander, et al.
Publicado: (2023)
A Dissipativity Approach to Analyzing Composite Spreading Networks
por: She, Baike, et al.
Publicado: (2024)
por: She, Baike, et al.
Publicado: (2024)
Differentially Private Health Tokens for Estimating COVID-19 Risk
por: Butler, David, et al.
Publicado: (2020)
por: Butler, David, et al.
Publicado: (2020)
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
por: Carranza, Aldo Gael, et al.
Publicado: (2023)
por: Carranza, Aldo Gael, et al.
Publicado: (2023)
Dobrushin Coefficients of Private Mechanisms Beyond Local Differential Privacy
por: Grosse, Leonhard, et al.
Publicado: (2026)
por: Grosse, Leonhard, et al.
Publicado: (2026)
Private Multiple Linear Computation: A Flexible Communication-Computation Tradeoff
por: Zhu, Jinbao, et al.
Publicado: (2024)
por: Zhu, Jinbao, et al.
Publicado: (2024)
Differentially Private Post-Processing for Fair Regression
por: Xian, Ruicheng, et al.
Publicado: (2024)
por: Xian, Ruicheng, et al.
Publicado: (2024)
Private Sum Computation: Trade-Offs between Communication, Randomness, and Privacy
por: Chou, Remi A., et al.
Publicado: (2026)
por: Chou, Remi A., et al.
Publicado: (2026)
Differentially Private Fair Binary Classifications
por: Ghoukasian, Hrad, et al.
Publicado: (2024)
por: Ghoukasian, Hrad, et al.
Publicado: (2024)
SoK: Practical Aspects of Releasing Differentially Private Graphs
por: D'Silva, Nicholas, et al.
Publicado: (2026)
por: D'Silva, Nicholas, et al.
Publicado: (2026)
Straggler-Resilient Differentially-Private Decentralized Learning
por: Yakimenka, Yauhen, et al.
Publicado: (2022)
por: Yakimenka, Yauhen, et al.
Publicado: (2022)
Universal Exact Compression of Differentially Private Mechanisms
por: Liu, Yanxiao, et al.
Publicado: (2024)
por: Liu, Yanxiao, et al.
Publicado: (2024)
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes
por: Ko, Joonhyuk, et al.
Publicado: (2024)
por: Ko, Joonhyuk, et al.
Publicado: (2024)
Private Hierarchical Governance for Encrypted Messaging
por: Namavari, Armin, et al.
Publicado: (2024)
por: Namavari, Armin, et al.
Publicado: (2024)
Differentially Private Datastore Generation for Retrieval-Augmented Inference
por: Abouelenein, Abdelrahman, et al.
Publicado: (2026)
por: Abouelenein, Abdelrahman, et al.
Publicado: (2026)
RCVaR: an Economic Approach to Estimate Cyberattacks Costs using Data from Industry Reports
por: Franco, Muriel Figueredo, et al.
Publicado: (2023)
por: Franco, Muriel Figueredo, et al.
Publicado: (2023)
Measuring Technological Convergence in Encryption Technologies with Proximity Indices: A Text Mining and Bibliometric Analysis using OpenAlex
por: Tavazzi, Alessandro, et al.
Publicado: (2024)
por: Tavazzi, Alessandro, et al.
Publicado: (2024)
Optimal Guarantees for Auditing Rényi Differentially Private Machine Learning
por: Kim, Benjamin D., et al.
Publicado: (2026)
por: Kim, Benjamin D., et al.
Publicado: (2026)
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation
por: Vithana, Sajani, et al.
Publicado: (2024)
por: Vithana, Sajani, et al.
Publicado: (2024)
GeoClip: Geometry-Aware Clipping for Differentially Private SGD
por: Gilani, Atefeh, et al.
Publicado: (2025)
por: Gilani, Atefeh, et al.
Publicado: (2025)
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
por: Wei, Rongzhe, et al.
Publicado: (2024)
por: Wei, Rongzhe, et al.
Publicado: (2024)
Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental Limits
por: Seif, Mohamed, et al.
Publicado: (2024)
por: Seif, Mohamed, et al.
Publicado: (2024)
Differentially Private Release of Israel's National Registry of Live Births
por: Hod, Shlomi, et al.
Publicado: (2024)
por: Hod, Shlomi, et al.
Publicado: (2024)
DApps Ecosystems: Mapping the Network Structure of Smart Contract Interactions
por: Aufiero, Sabrina, et al.
Publicado: (2024)
por: Aufiero, Sabrina, et al.
Publicado: (2024)
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features
por: Chua, Lynn, et al.
Publicado: (2024)
por: Chua, Lynn, et al.
Publicado: (2024)
Private Electronic Payments with Self-Custody and Zero-Knowledge Verified Reissuance
por: Friolo, Daniele, et al.
Publicado: (2024)
por: Friolo, Daniele, et al.
Publicado: (2024)
Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education
por: Ito, Hibiki, et al.
Publicado: (2026)
por: Ito, Hibiki, et al.
Publicado: (2026)
Subset-Based Instance Optimality in Private Estimation
por: Dick, Travis, et al.
Publicado: (2023)
por: Dick, Travis, et al.
Publicado: (2023)
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training
por: Huang, Alyssa, et al.
Publicado: (2023)
por: Huang, Alyssa, et al.
Publicado: (2023)
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
por: Fioretto, Ferdinando, et al.
Publicado: (2024)
por: Fioretto, Ferdinando, et al.
Publicado: (2024)
Ejemplares similares
-
Differentially Private Data-Driven Markov Chain Modeling
por: Benvenuti, Alexander, et al.
Publicado: (2026) -
Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy
por: Chen, Bo, et al.
Publicado: (2025) -
Distributed Reproduction Numbers of Networked Epidemics
por: She, Baike, et al.
Publicado: (2023) -
Differential Privacy for Symbolic Trajectories via the Permute-and-Flip Mechanism
por: Benvenuti, Alexander, et al.
Publicado: (2026) -
Modeling Epidemic Spread: A Gaussian Process Regression Approach
por: She, Baike, et al.
Publicado: (2023)