Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias

Cited by (584)

Items 201–300 of 584

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3. Collaborative Sampling for Partial Multi-Dimensional Value Collection Under Local Differential Privacy
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4. Locally Differentially Private Frequency Estimation Based on Convolution Framework
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5. Multi-Message Shuffled Privacy in Federated Learning
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6. Audio computer-assisted self interview compared to traditional interview in an HIV-related behavioral survey in Vietnam
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8. Private Multi-Group Aggregation
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9. Incorporating Prior Knowledge in Local Differentially Private Data Collection for Frequency Estimation
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10. Improved Combined Parametric and Nonparametric Regressions
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11. Differentially Private Graph Publishing and Randomized Response for Collaborative Filtering
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12. Collecting Partial Ordered Data With Local Differential Privacy
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13. Negative Surveys with Randomized Response Techniques for Privacy-Aware Participatory Sensing
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14. An Efficient Heap Tree-Based Range Query Scheme Under Local Differential Privacy
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15. A new estimator based on auxiliary information through quantitative randomized response techniques
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16. Strong Data Processing Inequalities for Locally Differentially Private Mechanisms
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17. Randomized response: Estimating mean square errors of linear estimators and finding optimal unbiased strategies
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18. A Bayesian model for disclosure control in statistical databases
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19. Three-Stage Strati ed Randomize Response Model
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20. Shifting Inference Control to User Side: Architecture and Protocol
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21. A Family of Estimators of a Sensitive Variable Using Auxiliary Information in Stratified Random Sampling
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22. Incidence of accounting irregularities: An experiment to compare audit, review, and compilation services
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23. The Long-term Impacts of Hunting on Population Viability of Wild Ungulates in Tarangire, Northern Tanzania
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24. RRreg: Correlation and Regression Analyses for Randomized Response Data
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25. Top-k Discovery Under Local Differential Privacy: An Adaptive Sampling Approach
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26. Privacy-Preserving Coded Schemes for Multi-Server Federated Learning With Straggling Links
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27. Differential Privacy Configurations in the Real World: A Comparative Analysis
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28. User-Driven Synthetic Dataset Generation With Quantifiable Differential Privacy
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29. PTT: Piecewise Transformation Technique for Analyzing Numerical Data Under Local Differential Privacy
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30. Butterfly Counting over Bipartite Graphs with Local Differential Privacy
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31. Privacy-preserving machine learning with tensor networks
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32. Protecting Label Distribution in Cross-Silo Federated Learning
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33. Privacy-Preserving Electronic Voting
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34. Motivations and sensitivities surrounding the illegal trade of sea turtles in Costa Rica
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35. Contraction of Locally Differentially Private Mechanisms
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36. A Property of the CHAID Partitioning Method for Dichotomous Randomized Response Data and Categorical Predictors
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38. An Alternative to Warner’s Randomized Response Model
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39. Privacy-Preserving Data Publishing
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40. A Privacy-Preserving Semi-Decentralized Personalized Recommendation System
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41. Two Birds With One Stone: Differential Privacy by Low-Power SRAM Memory
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42. Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming
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43. Multi-Task Private Semantic Communication
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44. Multi-stage Optional Unrelated Question RRT Model
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45. Calibration estimators for quantitative sensitive mean estimation under successive sampling
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46. Generalized Iterative Bayesian Update and Applications to Mechanisms for Privacy Protection
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47. Analyzing the Shuffle Model Through the Lens of Quantitative Information Flow
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48. Simple Binary Hypothesis Testing Under Local Differential Privacy and Communication Constraints
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49. Pseudo-Bayes and pseudo-empirical Bayes estimators in randomized response sampling
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50. Audio Computer-Assisted Self Interview Compared to Traditional Interview in an HIV-Related Behavioral Survey in Vietna
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51. Private Rank Aggregation in Central and Local Models
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52. Towards Private Medical Data Donations by Using Privacy Preserving Technologies
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53. Analyzing Randomized Response Data with a Binomial Selection Procedure
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54. Secure Survey Design in Organizations: Theory and Experiments
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55. A Tighter Converse for the Locally Differentially Private Discrete Distribution Estimation Under the One-bit Communication Constraint
    Seung-Hyun Nam, Si-Hyeon Lee · 2022 · IEEE Signal Processing Letters
56. A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results
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57. Compressed Private Aggregation for Scalable and Robust Federated Learning Over Massive Networks
    Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira, S. E. El Rouayheb · 2023 · IEEE Transactions on Mobile Computing
58. DPAUC: Differentially Private AUC Computation in Federated Learning
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59. Differentially Private Top-$k$ Flows Estimation Mechanism in Network Traffic
    Youwen Zhu, Q. Y. Song, Yonglong Luo · 2023 · IEEE Transactions on Network Science and Engineering
60. EPS2: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model
    Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng · 2023 · IEEE Transactions on Knowledge and Data Engineering
61. Casual Users and Rational Choices within Differential Privacy
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62. Estimating a distribution for each category of a sensitive variate
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63. Towards a Systematic Analysis of Privacy Definitions
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64. Location Positioning and Privacy Preservation Methods in Location-based Service
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65. Make Up Your Mind: The Price of Online Queries in Differential Privacy
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66. Collecting Preference Rankings under Local Differential Privacy
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67. Exactly Optimal and Communication-Efficient Private Estimation via Block Designs
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68. The Calibration for Stratified Randomized Response Estimators
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69. Simulatable Binding: Beyond Simulatable Auditing
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70. On Bayesian Analysis of a General Class of Randomized Response Models In Social Surveys about Stigmatized Traits
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71. ProTECting: An Application of Local Differential Privacy for IoT at the Edge in Smart Home Scenarios
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72. Using the Randomized Response Technique to Investigate Illegal Fishing and Contribute to Abalone Management in Northern California
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73. Information loss in a noisy dichotomous sampling process
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74. Federated Hypergraph Learning with Local Differential Privacy: Toward Privacy-Aware Hypergraph Structure Completion
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79. Hide and Seek: Revisiting DNS-based User Tracking
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82. Optimal Locally Private Data Stream Analytics
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84. Distributed Synthetic Time-Series Data Generation With Local Differentially Private Federated Learning
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86. LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
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87. Exploring Sensitive Topics: Sensitivity, Jeopardy, and Cheating
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91. Investigating the Impact of Simple and Mixture Priors on Estimating Sensitive Proportion Through a General Class of Randomized Response Models
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96. Localization and Privacy Preservation in Cognitive Radio Networks
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