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...e willing to give not true values but modified values of certain fields. Given a population that satisfies the above assumptions, we address the concrete problem of building decision-tree classifiers =-=[BFOS84]-=- [Qui93] and show that that it is possible to develop accurate models while re1 specting users' privacy concerns. Classification is one the most used tasks in data mining. Decision-tree classifiers ar...

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...et O(m 2 ) time. Stopping Criterion With omniscience, we would stop when the reconstructed distribution was statistically the same as the original distribution (using, say, thes2 goodness-of-fit test =-=[Cra46]-=-). An alternative is to compare the observed randomized distribution with the result of randomizing the current estimate of the original distribution, and stop when these two distributions are statist...

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...obal method and requires knowledge of values in other records. The problem of reconstructing original distribution from a given distribution can be viewed in the general framework of inverse problems =-=[EHN96]-=-. In [FJS97], it was shown that for smooth enough distributions (e.g. slowly varying time signals), it is possible to to fully recover original distribution from non-overlapping, contiguous partial su...

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...on of data cells of small size (e.g. [Cox80]), and clustering entities into mutually exclusive atomic populations (e.g. [YC77]). The perturbation family includes swapping values between records (e.g. =-=[Den82]-=-), replacing the original database by a sample from the same distribution (e.g. [LST83] [LCL85] [Rei84]), adding noise to the values in the database (e.g. [TYW84] [War65]), adding noise to the results...

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...sire to be able to provide statistical information (sum, count, average, maximum, minimum, pth percentile, etc.) without compromising sensitive information about individuals (see excellent surveys in =-=[AW89]-=- [Sho82].) The proposed techniques can be broadly classified into query restriction and data perturbation. The query restriction family includes restricting the size of query result (e.g. [Fel72] [DDS...

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... 0.5 and-0.5 to each point gives similar results. 4 Decision-Tree Classification over Randomized Data 4.1 Background We begin with a brief review of decision tree classification, adapted from [MAR96] =-=[SAM96]-=-. A decision tree [BFOS84] [Qui93] is a class discriminator that recursively partitions the training set until each partition consists entirely or dominantly of examples from the same class. Each non-...

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... values between records (e.g. [Den82]), replacing the original database by a sample from the same distribution (e.g. [LST83] [LCL85] [Rei84]), adding noise to the values in the database (e.g. [TYW84] =-=[War65]-=-), adding noise to the results of a query (e.g. [Bec80]), and sampling the result of a query (e.g. [Den80]). There are negative results showing that the proposed techniques cannot satisfy the conflict...

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... between 0.5 and-0.5 to each point gives similar results. 4 Decision-Tree Classification over Randomized Data 4.1 Background We begin with a brief review of decision tree classification, adapted from =-=[MAR96]-=- [SAM96]. A decision tree [BFOS84] [Qui93] is a class discriminator that recursively partitions the training set until each partition consists entirely or dominantly of examples from the same class. E...

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...eu998] [Off98]. Privacy issues are further exacerbated now that the World Wide Web makes it easy for the new data to be automatically collected and added to databases [HE98] [Wes98a] [Wes98b] [Wes99] =-=[CRA99a]-=- [Cra99b]. The concerns over massive collection of data are naturally extending to analytic tools applied to data. Data mining, with its promise to efficiently discover valuable, non-obvious informati...

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...ve in preventing unauthorized access to the system. Other relevant work includes efforts to create tools and standards that provide platform for implementing a system such as ours (e.g. [Wor] [Ben99] =-=[GWB97]-=- [Cra99b] [AC99] [LM99] [LEW99]). Paper Organization We discuss privacy-preserving methods in Section 2. We also introduce a quantitative measure to evaluate the amount of privacy offered by a method ...

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...to query restriction and data perturbation. The query restriction family includes restricting the size of query result (e.g. [Fel72] [DDS79]), controlling the overlap amongst successive queries (e.g. =-=[DJL79]-=-), keeping audit trail of all answered queries and constantly checking for possible compromise (e.g. [CO82]), suppression of data cells of small size (e.g. [Cox80]), and clustering entities into mutua...

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...lap amongst successive queries (e.g. [DJL79]), keeping audit trail of all answered queries and constantly checking for possible compromise (e.g. [CO82]), suppression of data cells of small size (e.g. =-=[Cox80]-=-), and clustering entities into mutually exclusive atomic populations (e.g. [YC77]). The perturbation family includes swapping values between records (e.g. [Den82]), replacing the original database by...

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...turally extending to analytic tools applied to data. Data mining, with its promise to efficiently discover valuable, non-obvious information from large databases, is particularly vulnerable to misuse =-=[CM96]-=- [The98] [Off98] [ECB99]. A fruitful direction for future research in data mining will be the development of techniques that incorporate privacy concerns [Agr99]. Specifically, we address the followin...

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...tion (e.g. [LST83] [LCL85] [Rei84]), adding noise to the values in the database (e.g. [TYW84] [War65]), adding noise to the results of a query (e.g. [Bec80]), and sampling the result of a query (e.g. =-=[Den80]-=-). There are negative results showing that the proposed techniques cannot satisfy the conflicting objectives of providing high quality statistics and at the same time prevent exact or partial disclosu...

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...unauthorized access to the system. Other relevant work includes efforts to create tools and standards that provide platform for implementing a system such as ours (e.g. [Wor] [Ben99] [GWB97] [Cra99b] =-=[AC99]-=- [LM99] [LEW99]). Paper Organization We discuss privacy-preserving methods in Section 2. We also introduce a quantitative measure to evaluate the amount of privacy offered by a method and evaluate the...

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...ys in [AW89] [Sho82].) The proposed techniques can be broadly classified into query restriction and data perturbation. The query restriction family includes restricting the size of query result (e.g. =-=[Fel72]-=- [DDS79]), controlling the overlap amongst successive queries (e.g. [DJL79]), keeping audit trail of all answered queries and constantly checking for possible compromise (e.g. [CO82]), suppression of ...

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... effective in preventing unauthorized access to the system. Other relevant work includes efforts to create tools and standards that provide platform for implementing a system such as ours (e.g. [Wor] =-=[Ben99]-=- [GWB97] [Cra99b] [AC99] [LM99] [LEW99]). Paper Organization We discuss privacy-preserving methods in Section 2. We also introduce a quantitative measure to evaluate the amount of privacy offered by a...

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... be able to provide statistical information (sum, count, average, maximum, minimum, pth percentile, etc.) without compromising sensitive information about individuals (see excellent surveys in [AW89] =-=[Sho82]-=-.) The proposed techniques can be broadly classified into query restriction and data perturbation. The query restriction family includes restricting the size of query result (e.g. [Fel72] [DDS79]), co...

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...swapping values between records (e.g. [Den82]), replacing the original database by a sample from the same distribution (e.g. [LST83] [LCL85] [Rei84]), adding noise to the values in the database (e.g. =-=[TYW84]-=- [War65]), adding noise to the results of a query (e.g. [Bec80]), and sampling the result of a query (e.g. [Den80]). There are negative results showing that the proposed techniques cannot satisfy the ...

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...atomic populations (e.g. [YC77]). The perturbation family includes swapping values between records (e.g. [Den82]), replacing the original database by a sample from the same distribution (e.g. [LST83] =-=[LCL85]-=- [Rei84]), adding noise to the values in the database (e.g. [TYW84] [War65]), adding noise to the results of a query (e.g. [Bec80]), and sampling the result of a query (e.g. [Den80]). There are negati...

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...opulations (e.g. [YC77]). The perturbation family includes swapping values between records (e.g. [Den82]), replacing the original database by a sample from the same distribution (e.g. [LST83] [LCL85] =-=[Rei84]-=-), adding noise to the values in the database (e.g. [TYW84] [War65]), adding noise to the results of a query (e.g. [Bec80]), and sampling the result of a query (e.g. [Den80]). There are negative resul...

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...W89] [Sho82].) The proposed techniques can be broadly classified into query restriction and data perturbation. The query restriction family includes restricting the size of query result (e.g. [Fel72] =-=[DDS79]-=-), controlling the overlap amongst successive queries (e.g. [DJL79]), keeping audit trail of all answered queries and constantly checking for possible compromise (e.g. [CO82]), suppression of data cel...

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...riable has a uniform distribution, between [\Gammaff; + ff]. The mean of the random variable is 0. ffl Gaussian: The random variable has a normal distribution, with means= 0 and standard deviation oe =-=[Fis63]-=-. We fix the perturbation of an entity. Thus, it is not possible for snoopers to improve the estimates of the value of a field in a record by repeating queries [AW89]. 2.1 Quantifying Privacy For quan...

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...ccess to the system. Other relevant work includes efforts to create tools and standards that provide platform for implementing a system such as ours (e.g. [Wor] [Ben99] [GWB97] [Cra99b] [AC99] [LM99] =-=[LEW99]-=-). Paper Organization We discuss privacy-preserving methods in Section 2. We also introduce a quantitative measure to evaluate the amount of privacy offered by a method and evaluate the proposed metho...

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...d not have to cope with information that has been intentionally distorted. Closely related, but orthogonal to our work, is the extensive literature on access control and security (e.g. [Din78] [ST90] =-=[Opp97]-=- [RG98]). Whenever sensitive information is exchanged, it must be transmitted over a secure channel and stored securely. For the purposes of this paper, we assume that appropriate access controls and ...

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...riginal database by a sample from the same distribution (e.g. [LST83] [LCL85] [Rei84]), adding noise to the values in the database (e.g. [TYW84] [War65]), adding noise to the results of a query (e.g. =-=[Bec80]-=-), and sampling the result of a query (e.g. [Den80]). There are negative results showing that the proposed techniques cannot satisfy the conflicting objectives of providing high quality statistics and...

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...and requires knowledge of values in other records. The problem of reconstructing original distribution from a given distribution can be viewed in the general framework of inverse problems [EHN96]. In =-=[FJS97]-=-, it was shown that for smooth enough distributions (e.g. slowly varying time signals), it is possible to to fully recover original distribution from non-overlapping, contiguous partial sums. Such par...

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...orks did not have to cope with information that has been intentionally distorted. Closely related, but orthogonal to our work, is the extensive literature on access control and security (e.g. [Din78] =-=[ST90]-=- [Opp97] [RG98]). Whenever sensitive information is exchanged, it must be transmitted over a secure channel and stored securely. For the purposes of this paper, we assume that appropriate access contr...

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...alytic tools applied to data. Data mining, with its promise to efficiently discover valuable, non-obvious information from large databases, is particularly vulnerable to misuse [CM96] [The98] [Off98] =-=[ECB99]-=-. A fruitful direction for future research in data mining will be the development of techniques that incorporate privacy concerns [Agr99]. Specifically, we address the following question. Since the pr...

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...globally [Tim97] [Eco99] [eu998] [Off98]. Privacy issues are further exacerbated now that the World Wide Web makes it easy for the new data to be automatically collected and added to databases [HE98] =-=[Wes98a]-=- [Wes98b] [Wes99] [CRA99a] [Cra99b]. The concerns over massive collection of data are naturally extending to analytic tools applied to data. Data mining, with its promise to efficiently discover valua...

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...clusive atomic populations (e.g. [YC77]). The perturbation family includes swapping values between records (e.g. [Den82]), replacing the original database by a sample from the same distribution (e.g. =-=[LST83]-=- [LCL85] [Rei84]), adding noise to the values in the database (e.g. [TYW84] [War65]), adding noise to the results of a query (e.g. [Bec80]), and sampling the result of a query (e.g. [Den80]). There ar...

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...Eco99] [eu998] [Off98]. Privacy issues are further exacerbated now that the World Wide Web makes it easy for the new data to be automatically collected and added to databases [HE98] [Wes98a] [Wes98b] =-=[Wes99]-=- [CRA99a] [Cra99b]. The concerns over massive collection of data are naturally extending to analytic tools applied to data. Data mining, with its promise to efficiently discover valuable, non-obvious ...

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... ultra large databases that record unprecedented amount of transactional information. In tandem with this dramatic increase in digital data, concerns about informational privacy have emerged globally =-=[Tim97]-=- [Eco99] [eu998] [Off98]. Privacy issues are further exacerbated now that the World Wide Web makes it easy for the new data to be automatically collected and added to databases [HE98] [Wes98a] [Wes98b...

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...ccuracy the original distributions of the values of the confidential attributes. We adopt from the statistics literature two methods that a person may use in our system to modify the value of a field =-=[CS76]-=-: ffl Value-Class Membership. Partition the values into a set of disjoint, mutually-exhaustive classes and return the class into which the true value x i falls. ffl Value Distortion. Return a value x ...

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...ery result (e.g. [Fel72] [DDS79]), controlling the overlap amongst successive queries (e.g. [DJL79]), keeping audit trail of all answered queries and constantly checking for possible compromise (e.g. =-=[CO82]-=-), suppression of data cells of small size (e.g. [Cox80]), and clustering entities into mutually exclusive atomic populations (e.g. [YC77]). The perturbation family includes swapping values between re...

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...[Tim97] [Eco99] [eu998] [Off98]. Privacy issues are further exacerbated now that the World Wide Web makes it easy for the new data to be automatically collected and added to databases [HE98] [Wes98a] =-=[Wes98b]-=- [Wes99] [CRA99a] [Cra99b]. The concerns over massive collection of data are naturally extending to analytic tools applied to data. Data mining, with its promise to efficiently discover valuable, non-...

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...queries and constantly checking for possible compromise (e.g. [CO82]), suppression of data cells of small size (e.g. [Cox80]), and clustering entities into mutually exclusive atomic populations (e.g. =-=[YC77]-=-). The perturbation family includes swapping values between records (e.g. [Den82]), replacing the original database by a sample from the same distribution (e.g. [LST83] [LCL85] [Rei84]), adding noise ...

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...merged globally [Tim97] [Eco99] [eu998] [Off98]. Privacy issues are further exacerbated now that the World Wide Web makes it easy for the new data to be automatically collected and added to databases =-=[HE98]-=- [Wes98a] [Wes98b] [Wes99] [CRA99a] [Cra99b]. The concerns over massive collection of data are naturally extending to analytic tools applied to data. Data mining, with its promise to efficiently disco...

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...s, is particularly vulnerable to misuse [CM96] [The98] [Off98] [ECB99]. A fruitful direction for future research in data mining will be the development of techniques that incorporate privacy concerns =-=[Agr99]-=-. Specifically, we address the following question. Since the primary task in data mining is the development of models about aggregated data, can we develop accurate models without access to precise in...

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... extending to analytic tools applied to data. Data mining, with its promise to efficiently discover valuable, non-obvious information from large databases, is particularly vulnerable to misuse [CM96] =-=[The98]-=- [Off98] [ECB99]. A fruitful direction for future research in data mining will be the development of techniques that incorporate privacy concerns [Agr99]. Specifically, we address the following questi...

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...ve to cope with information that has been intentionally distorted. Closely related, but orthogonal to our work, is the extensive literature on access control and security (e.g. [Din78] [ST90] [Opp97] =-=[RG98]-=-). Whenever sensitive information is exchanged, it must be transmitted over a secure channel and stored securely. For the purposes of this paper, we assume that appropriate access controls and securit...

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... literature on estimating attribute distributions from partial information [BDF + 97]. In the OLAP literature, there is work on approximating queries on sub-cubes from higher-level aggregations (e.g. =-=[BS97]-=-). However, these works did not have to cope with information that has been intentionally distorted. Closely related, but orthogonal to our work, is the extensive literature on access control and secu...

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... these works did not have to cope with information that has been intentionally distorted. Closely related, but orthogonal to our work, is the extensive literature on access control and security (e.g. =-=[Din78]-=- [ST90] [Opp97] [RG98]). Whenever sensitive information is exchanged, it must be transmitted over a secure channel and stored securely. For the purposes of this paper, we assume that appropriate acces...

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...rized access to the system. Other relevant work includes efforts to create tools and standards that provide platform for implementing a system such as ours (e.g. [Wor] [Ben99] [GWB97] [Cra99b] [AC99] =-=[LM99]-=- [LEW99]). Paper Organization We discuss privacy-preserving methods in Section 2. We also introduce a quantitative measure to evaluate the amount of privacy offered by a method and evaluate the propos...