Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias

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Local Differential Privacy-Based Privacy-Preserving Data Range Query Scheme for Electric Vehicle Charging

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Personalized Privacy-Preserving Data Aggregation for Histogram Estimation

Wang, S., Huang, L., Tian, M., Yang, W., Xu, H., & Guo, H. (2015) · Globecom · doi:10.1109/glocom.2015.7417364 · Cited by 27

Optional versus compulsory randomized response techniques in complex surveys

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Successive Point-of-Interest Recommendation With Local Differential Privacy

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Bayesian approximations in randomized response model

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Some New Results on the Multinomial Randomized Response Model

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Sociology and compelled disclosure: Protecting respondent confidentiality

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A unified framework for analysis and comparison of randomized response surveys of binary characteristics

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Locally Differentially Private Sparse Vector Aggregation

Zhou, M., Wang, T., Chan, T.-H. H., Fanti, G. C., & Shi, E. (2022) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp46214.2022.9833635 · Cited by 31

Violation of respondent's privacy in moors* model- its rectification through a random group strategy

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A new non-randomized multi-category response model for surveys with a single sensitive question: Design and analysis

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Uso de serviços de saúde entre adultos residentes na Região Metropolitana de Manaus: inquérito de base populacional, 2015*

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Network Traffic Shaping for Enhancing Privacy in IoT Systems

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Heavy Hitter Identification Over Large-Domain Set-Valued Data With Local Differential Privacy

Zhu, Y., Cao, Y., Xue, Q., Wu, Q., & Zhang, Y. (2023) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2023.3324726 · Cited by 25

Surveying Multiple Sensitive Attributes using an Extension of the Randomized-Response Technique

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Comparing Population Means Under Local Differential Privacy: With Significance and Power

Ding, B., Nori, H., Li, P., & Allen, J. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11301 · Cited by 29

Semiparametric analysis of randomized response data with missing covariates in logistic regression

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SoK: Privacy-Preserving Data Synthesis

Hu, Y., Wu, F., Li, Q., Long, Y., Garrido, G. M., Ge, C., Ding, B., Forsyth, D. A., Li, B., & Song, D. X. (2024) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp54263.2024.00002 · Cited by 55

Pattern-Sensitive Local Differential Privacy for Finite-Range Time-Series Data in Mobile Crowdsensing

Li, Z., Zeng, X., Xiao, Y., Li, C., Wu, W., & Liu, H. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2024.3445973 · Cited by 24

Differentially Private Histograms in the Shuffle Model from Fake Users

Cheu, A., & Zhilyaev, M. (2022) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp46214.2022.9833614 · Cited by 24

PriPeARL

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A Survey of Randomization Methods for Privacy-Preserving Data Mining

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Use of a Randomized Response Technique to obtain sensitive information on animal disease prevalence

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Randomized response techniques: An application to the Botswana AIDS impact survey

Arnab, R., & Singh, S. (2009) · Journal of Statistical Planning and Inference · doi:10.1016/j.jspi.2009.09.019 · Cited by 22

A Survey on Methods, Attacks and Metric for Privacy Preserving Data Publishing

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The Limits of Word Level Differential Privacy

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LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy

Sun, X., Ye, Q., Hu, H., Duan, J., Wo, T., Xu, J., & Yang, R. (2024) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde60146.2024.00132 · Cited by 22

A Survey of Differential Privacy Techniques for Federated Learning

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Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation

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Providing Private Recommendations Using Naïve Bayesian Classifier

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Estimating the linear regression model with categorical covariates subject to randomized response

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Privacy transformations for statistical information systems

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Shuffle Differential Private Data Aggregation for Random Population

Wang, S., Luo, X., Qian, Y., Zhu, Y., Chen, K., Chen, Q., Xin, B., & Yang, W. (2023) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2023.3247541 · Cited by 20

Stateful Switch: Optimized Time Series Release with Local Differential Privacy

Ye, Q., Hu, H., Huang, K., Au, M. H., & Xue, Q. (2023) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom53939.2023.10229063 · Cited by 20

Measure of privacy in randomized response model

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Federal Statistics, Multiple Data Sources, and Privacy Protection

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Security in Sensor Networks: Watermarking Techniques

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Bayesian non-randomized response models for surveys with sensitive questions

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From noticing to making sense: Using intelligence to develop strategy

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Abortion: a national public and mental health problem-past, present, and proposed research.

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Transparent Privacy is Principled Privacy

Gong, R. (2022) · Harvard Data Science Review · doi:10.1162/99608f92.b5d3faaa · Cited by 18

PrivNUD: Effective Range Query Processing under Local Differential Privacy

Wang, N., Wang, Y., Wang, Z., Nie, J., Wei, Z., Tang, P., Gu, Y., & Yu, G. (2023) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde55515.2023.00204 · Cited by 19

A calibration-based approach to sensitive data: a simulation study

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Privacy Preserving Data Publishing for Recommender System

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Local data debiasing for fairness based on generative adversarial training.

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Evaluating loggerhead sea turtle (Caretta caretta) bycatch in the small-scale fisheries of Cabo Verde

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A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees

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Generalized franklin's model for randomized response sampling

Singh, S., & Singh, R. (1993) · Communication in Statistics- Theory and Methods · doi:10.1080/03610929308831052 · Cited by 17

On the analysis of some multivariate randomized response designs for categorical data

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Bayesian Estimation Using Warner's Randomized Response Model through Simple and Mixture Prior Distributions

Hussain, Z., Shabbir, J., & Riaz, M. (2010) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918.2010.532897 · Cited by 17

Ethical Dilemmas in Social Research

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Differentially Private Language Models for Secure Data Sharing

Mattern, J., Jin, Z., Weggenmann, B., Schölkopf, B., & Sachan, M. (2022) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2022.emnlp-main.323 · Cited by 49

A Novel Compliance Assessment Technique: The Randomized Response Interview

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Randomized response and the binary probit model

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Analyzing Preference Data With Local Privacy: Optimal Utility and Enhanced Robustness

Wang, S., Luo, X., Qian, Y., Du, J., Lin, W., & Yang, W. (2022) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2022.3207486 · Cited by 15

Wasserstein Generative Adversarial Networks Based Differential Privacy Metaverse Data Sharing

Liu, H., Xu, D., Tian, Y., Peng, C., Wu, Z., & Wang, Z. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3287092 · Cited by 15

Utilization of higher order moments of scrambling variables in randomized response sampling

Singh, S., & Chen, C. C. (2009) · Journal of Statistical Planning and Inference · doi:10.1016/j.jspi.2009.01.014 · Cited by 15

Contraceptive behaviour of abortion seekers in Sri Lanka

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Development and Analysis of Deterministic Privacy-Preserving Policies Using Non- Stochastic Information Theory

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Monitoring Harassment in Organizations

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Efficient Defenses Against Output Poisoning Attacks on Local Differential Privacy

Song, S., Xu, L., & Zhu, L. (2023) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2023.3305873 · Cited by 15

Secure Multiparty Computation: From Millionaires Problem to Anonymizer

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The dimensions of locational privacy

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A test for detecting untruthful answering in randomized response procedures

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Purposive concealment of death in household surveys in Misamis Oriental Province

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Private Data Analysis via Output Perturbation

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Estimation of finite population mean in randomized response surveys

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Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices

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Risk, Utility and PRAM

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Estimation of a sensitive proportion by Warner’s randomized response data through inverse sampling

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Nonnegative variance estimation in randomized response surveys

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A design-based randomized response procedure for the estimation of population proportion and sensitivity level

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Corruption, Intimidation, and Whistle-blowing: a Theory of Inference from Unverifiable Reports

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Generating Location Traces With Semantic- Constrained Local Differential Privacy

Sun, X., Ye, Q., Hu, H., Duan, J., Xue, Q., Wo, T., Zhang, W., & Xu, J. (2024) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2024.3480712 · Cited by 12

Privacy Enhancement Via Dummy Points in the Shuffle Model

Li, X., Liu, W., Feng, H., Huang, K., Hu, Y., Liu, J., Ren, K., & Qin, Z. (2023) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2023.3263162 · Cited by 12

DP2-Pub: Differentially Private High-Dimensional Data Publication With Invariant Post Randomization

Jiang, H., Yu, H., Cheng, X., Pei, J., Pless, R. B., & Yu, J. (2023) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2023.3265605 · Cited by 12

Perturbation Methods for Protecting Data Privacy: A Review of Techniques and Applications

Turgay, S., & İlter, İ. (2023) · Automation and Machine Learning · doi:10.23977/autml.2023.040205 · Cited by 12

Extremal Mechanisms for Pointwise Maximal Leakage

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A pseudo-empirical log-likelihood estimator using scrambled responses

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Residue-based Label Protection Mechanisms in Vertical Logistic Regression

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Improved Bar-Lev, Bobovitch, and Boukai Randomized Response Models

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Estimating sensitive proportions by Warner’s randomized response technique using multiple randomized responses from distinct persons sampled

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XRand: Differentially Private Defense against Explanation-Guided Attacks

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Multi-character survery using randomized response technique

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Misunderestimating Corruption

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An LDP-Based Privacy-Preserving Longitudinal and Multidimensional Range Query Scheme in IoT

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Tools for assessing recreational fisheries compliance—an underappreciated yet essential component of management

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Comments on a method of comparison of randomized response techniques

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Adaptación de la escala de identidad para lesbianas, gays y bisexuales (LGBIS) en un grupo de lesbianas, gays y bisexuales del Perú

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An Attack-Agnostic Defense Framework Against Manipulation Attacks Under Local Differential Privacy

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Machine Learning with Differentially Private Labels: Mechanisms and Frameworks

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Statistical Database Security

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Multi-category parallel models in the design of surveys with sensitive questions

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Bayesian network-based high-dimensional crowdsourced data publication with local differential privacy

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Research progress on big data security technology

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A Study on the Randomized Response Technique by PPS Sampling

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Preventing Interval-Based Inference by Random Data Perturbation

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Respondent-specific information from the randomized response interview: Compliance assessment

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Joint Distribution Analysis for Set-Valued Data With Local Differential Privacy

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Private Collaborative Edge Inference via Over-the-Air Computation

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A ZIP model accounting for response bias in randomized response

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