## Especially our two proposed methods are the Laplace Mechanism-based Database Watermarking (LMDW) and Randomized Response-based Database Watermarking (RRDW) for two classical local differential privacy mechanisms the Laplace Mechanism (LM) and the Randomized Response (RR) respectively. 特別是我們提出的兩種方法是基於拉普拉斯機制的數據庫水印（LMDW）和基於隨機響應的數據庫水印（RRDW），分別用於兩種經典的局部差分隱私機制拉普拉斯機制（LM）和隨機響應（RR）。

A Robust Database Watermarking using Local Differential Privacy

## A recommendation algorithm based on collaborative filtering, matrix factorization as well as the randomized response is proposed, which satisfies local differential privacy (LDP). 提出了一種基於協同過濾、矩陣分解和隨機響應的推薦算法，滿足局部差分隱私（LDP）的要求。

Effective Matrix Factorization for Recommendation with Local Differential Privacy

## There are nine well-written chapters covering a range of topics includingmotivation to sampling, concepts of population versus sample, random sampling with and without replacement, estimation, sample size determination, unequal probability sampling, stratified sampling, cluster sampling, multi-stage sampling, regression estimation, super population modeling, Bayesian methods, spatial smoothing, successive sampling, handling non-responses, imputations, repeated sampling, randomized responses to obtain better responses, indirect questioning, small domain statistics, network sampling, adaptive sampling, and Jack-knifing among others. 有九章寫得很好，涵蓋了一系列主題，包括抽樣的動機、總體與樣本的概念、帶和不帶放回的隨機抽樣、估計、樣本量確定、不等概率抽樣、分層抽樣、整群抽樣、多階段抽樣、回歸估計、超級人口建模、貝葉斯方法、空間平滑、連續採樣、處理無響應、插補、重複採樣、隨機響應以獲得更好的響應、間接提問、小域統計、網絡採樣、自適應採樣和 Jack-knifing其中。

Modern survey sampling

## ABSTRACT In this paper, Abdelfatah and Mazloum's (2015) two-stage randomized response model is extended to unequal probability sampling and stratified unequal probability sampling, both with and without replacement. 摘要 在本文中，Abdelfatah 和 Mazloum (2015) 的兩階段隨機響應模型被擴展到不等概率抽樣和分層不等概率抽樣，無論有沒有放回。

An improved cluster two-stage randomized response model

## Thus, the optional randomized response model , where k is a random variable having value 1 if the response is scrambled and 0 otherwise, was considered for finding out Approximate Optimum Strata Boundaries by minimizing the variance of the estimator. 因此，考慮了可選的隨機響應模型 ，其中 k 是隨機變量，如果響應被加擾，則值為 1，否則為 0，被考慮用於通過最小化估計量的方差來找出近似最優地層邊界。

An alternative approach for construction of strata using quantified sensitivity level

## and Huang considered optional randomized response techniques where the probability of choosing the randomized (or direct) response is fixed for all the respondents. Huang 考慮了可選的隨機響應技術，其中選擇隨機（或直接）響應的概率對於所有受訪者都是固定的。

Optional randomized response techniques for quantitative characteristics

## Our solution relies on a distributed client-server architecture and a two-stage Randomized Response algorithm, along with an implementation on the popular recommendation model, Matrix Factorization (MF). 我們的解決方案依賴於分佈式客戶端-服務器架構和兩階段隨機響應算法，以及流行的推薦模型矩陣分解 (MF) 的實現。

Towards a More Reliable Privacy-preserving Recommender System

## ABSTRACT In this paper, Abdelfatah and Mazloum's (2015) two-stage randomized response model is extended to unequal probability sampling and stratified unequal probability sampling, both with and without replacement. 摘要 在本文中，Abdelfatah 和 Mazloum (2015) 的兩階段隨機響應模型被擴展到不等概率抽樣和分層不等概率抽樣，無論有沒有放回。

An improved cluster two-stage randomized response model

## In this study, we consider variance estimation procedure using scrambled randomized response for sensitive variable using multi-auxiliary variables in multi-phase sampling. 在這項研究中，我們考慮使用多階段抽樣中的多輔助變量對敏感變量使用加擾隨機響應的方差估計程序。

Variance Estimation Procedure Using Scrambled Responses and Multi-Auxiliary Variables In Multi-Phase Sampling

## With the intention to control a true swapping between the efficiency and the privacy protection this paper introduces a scrambled randomized response (SRR) model to be alternative of Saha’s scrambling mechanism. nan

Estimation of Mean of a Sensitive Quantitative Variable in Complex Survey: Improved Estimator and Scrambled Randomized Response Model

## In this paper, we developed a new unique unrelated question randomized response model in which each card has two questions, either both questions on the sensitive characteristics or both questions on the two unrelated characteristics. 在本文中，我們開發了一種新的獨特的無關問題隨機響應模型，其中每張卡片有兩個問題，要么都是關於敏感特徵的問題，要么是關於兩個不相關特徵的問題。

Two sensitive characteristics and their overlap with two questions per card.

## A shrinkage estimator of population mean using a prior information is proposed under unrelated question randomized response model where one of the two questions presented to the respondents is non-stigmatized and unrelated to the stigmatized character. 在無關問題隨機響應模型下提出了使用先驗信息的人口均值收縮估計量，其中向受訪者提出的兩個問題之一是非污名化且與污名化特徵無關。

Shrinkage Estimation Procedure of Population Mean with Stigmatizing Character in Unrelated Question Randomized Response Technique

## We show that the Bayesian-Nash equilibrium can be in the form of either a symmetric randomized response (SR) strategy or an informative non-disclosive (ND) strategy. 我們表明，貝葉斯-納什均衡可以採用對稱隨機響應 (SR) 策略或信息非公開 (ND) 策略的形式。

Impact of Social Learning on Privacy-Preserving Data Collection

## Our findings reveal that, the Bayesian-Nash equilibrium can be in the form of either a symmetric randomized response (SR) strategy or an informative non-disclosive (ND) strategy. nan

Data Collection from Privacy-Aware Users in the Presence of Social Learning

## In this article, alternative randomized response models are proposed, which make use of sum of quantitative scores generated from two decks of cards being used in a survey. 在本文中，提出了替代隨機響應模型，該模型利用調查中使用的兩副紙牌產生的定量分數之和。

Alternative Methods to Make Efficient Use of Two Decks of Cards in Randomized Response Sampling

## This paper proposes an alternative randomized response technique by improving existing works on tripartite randomized response technique (TRRT) using unrelated questions. 本文通過使用不相關的問題改進三方隨機響應技術 (TRRT) 的現有工作，提出了一種替代的隨機響應技術。

An Alternative Estimator for Unrelated Questions in Tripartite Randomized Response Technique

## This paper suggests a new randomized response model useful for gathering information on quantitative sensitive variable such as drug usage, tax evasion and induced abortions etc. 本文提出了一種新的隨機響應模型，可用於收集定量敏感變量的信息，例如藥物使用、逃稅和人工流產等。

An improved scrambled model for estimating the mean of a sensitive character

## In this article, we propose a new randomized response model to estimate the population total of a sensitive variable of quantitative nature. 在本文中，我們提出了一種新的隨機響應模型來估計數量性質的敏感變量的總體總數。

Estimation of stigmatized population total: A new additive quantitative randomized response model

## The use of scramble variable is considered herein randomized response technique to estimate the parameters of the sensitive variable. 在本文中考慮使用打亂變量隨機響應技術來估計敏感變量的參數。

Computing the effect of measurement errors under additive scramble response of the sensitive variable

## In this study, we introduce a mixture binary Randomized Response Technique (RRT) model by combining the elements of the Greenberg Unrelated Question model and the Warner Indirect Question model. 在這項研究中，我們通過結合格林伯格無關問題模型和華納間接問題模型的元素，引入了混合二元隨機響應技術 (RRT) 模型。

A mixture binary RRT model with a unified measure of privacy and efficiency

## In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respo. 在進行涉及敏感特徵的調查時，隨機響應模型被認為是最好的技術之一，因為它們為響應提供了最大的隱私保護。

A Theory of Higher Order Interactions Between Sensitive Variables: Empirical Evidences and an Application to a Variety of Smoking

## However, a sample size determination method for complex sampling surveys of sensitive issues using a randomized response model is not yet available. 然而，使用隨機響應模型對敏感問題進行複雜抽樣調查的樣本量確定方法尚不可用。

Application of a randomized response technique for the sensitive question survey in female sex workers in Xichang, China.

## Our solution relies on a distributed client-server architecture and a two-stage Randomized Response algorithm, along with an implementation on the popular recommendation model, Matrix Factorization (MF). 我們的解決方案依賴於分佈式客戶端-服務器架構和兩階段隨機響應算法，以及流行的推薦模型矩陣分解 (MF) 的實現。

Towards a More Reliable Privacy-preserving Recommender System

## In our mechanism, users perturb their ratings locally on their devices using Laplace and randomized response mechanisms and send the perturbed ratings to the service provider. 在我們的機制中，用戶使用拉普拉斯和隨機響應機制在他們的設備上本地擾亂他們的評分，並將擾亂的評分發送給服務提供商。

Local Differentially Private Matrix Factorization For Recommendations

## Second, we present a generalized randomized response mechanism to achieve ( ε , δ ) -local differential privacy for location privacy preservation, which obtains the upper bound of error, and serve it as the basic building block to design a unified private continuous location sharing framework with an untrusted server. 其次，我們提出了一種廣義的隨機響應機制來實現（ε，δ）-局部差分隱私，用於位置隱私保護，獲得誤差的上限，並將其作為設計統一私有連續位置共享框架的基本構建塊使用不受信任的服務器。

Locally differentially private continuous location sharing with randomized response

## Background: Nonrandomized response (NRR) models are a new generation of surveys for sensitive issues. 背景：非隨機響應 (NRR) 模型是針對敏感問題的新一代調查。

Sensitivity of Crosswise Model to Simplistic Selection of Nonsensitive Questions: An Application to Estimate Substance Use, Alcohol Consumption and Extramarital Sex Among Iranian College Students

## Warner’s randomized response (RR) model is used to collect sensitive information for a broad range of surveys, but it possesses several limitations such as lack of reproducibility, higher costs and it is not feasible for mail questionnaires. Warner 的隨機響應 (RR) 模型用於為廣泛的調查收集敏感信息，但它具有一些局限性，例如缺乏可重複性、成本較高，並且不適用於郵寄問卷。

Nonrandomized response model for complex survey designs

10.1016/B978-0-12-815044-3.00001-0

## The randomized responses procedure due to Warner (1965) is used for eliminating answer biases. Warner (1965) 的隨機響應程序用於消除答案​​偏差。

Studying the Quality of Environment Variables Using a Randomized Response Procedure for the Estimation of a Proportion Through Ranked Set Sampling

## We implement our procedure and use it for (dis)proving privacy bounds for many well-known examples, including randomized response, histogram, report noisy max and sparse vector. 我們實現了我們的程序並將其用於（反）證明許多知名示例的隱私邊界，包括隨機響應、直方圖、報告噪聲最大值和稀疏向量。

Deciding Differential Privacy for Programs with Finite Inputs and Outputs.

## The key idea behind our approach is to marry two techniques together, namely, sampling (used for approximate computation) and randomized response (used for privacypreserving analytics). 我們方法背後的關鍵思想是將兩種技術結合在一起，即採樣（用於近似計算）和隨機響應（用於隱私保護分析）。

PrivApprox: Privacy-Preserving Stream Analytics

## In this research, we address this challenge using a combination of a randomized response (RR) approach for data collection and a multiscale item response theory (IRT) model for data analysis. 在這項研究中，我們結合使用用於數據收集的隨機響應 (RR) 方法和用於數據分析的多尺度項目響應理論 (IRT) 模型來應對這一挑戰。

Multidimensional Assessment of Social Desirability Bias: An Application of Multiscale Item Randomized Response Theory to Measure Academic Misconduct

## We consider a problem of analyzing a global property of private data through randomized responses subject to a certain rule, where private data are used for another cryptographic protocol, e. 我們考慮通過遵循特定規則的隨機響應來分析私有數據的全局屬性的問題，其中私有數據用於另一種加密協議，例如。

Optimal Mechanism for Randomized Responses under Universally Composable Security Measure

10.1016/B978-0-12-815044-3.00006-X

## The seminal work of Warner (1965) on randomized response has motivated the development of a fruitful theory. Warner (1965) 關於隨機反應的開創性工作推動了富有成果的理論的發展。

Extensions of Some Randomized Response Procedures Related with Gupta-Thornton Method: The Use of Order Statistics

## The key idea behind PRIVAPPROX is to combine two techniques together, namely, sampling (used for approximate computation) and randomized response (used for privacy-preserving analytics). PRIVAPPROX 背後的關鍵思想是將兩種技術結合在一起，即採樣（用於近似計算）和隨機響應（用於隱私保護分析）。

Privacy-Preserving Data Analytics