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Non-Interactive Private Decision Tree Evaluation [article]

Anselme Tueno, Yordan Boev, Florian Kerschbaum
2019 arXiv   pre-print
In this paper, we, therefore, address the problem of privately evaluating a decision tree on private data.  ...  This scenario consists of a server holding a private decision tree model and a client interested in classifying its private attribute vector using the server's private model.  ...  The resulting decision tree protocol is non-interactive and efficient because of the small multiplicative depth.  ... 
arXiv:1909.08362v1 fatcat:qkk3s4qzmnfavawqcsml4gkvsq

Non-interactive Private Decision Tree Evaluation [chapter]

Anselme Tueno, Yordan Boev, Florian Kerschbaum
2020 Lecture Notes in Computer Science  
In this paper, we address the problem of privately evaluating a decision tree on private data.  ...  This scenario consists of a server holding a private decision tree model and a client interested in classifying its private attribute vector using the server's private model.  ...  In this paper, we therefore address the problem of private decision tree evaluation (PDTE) on private data.  ... 
doi:10.1007/978-3-030-49669-2_10 fatcat:wzomzihvwjdqxlznwezejwar6u

Privately Evaluating Decision Trees and Random Forests

David J. Wu, Tony Feng, Michael Naehrig, Kristin Lauter
2016 Proceedings on Privacy Enhancing Technologies  
Decision trees and random forests are common classifiers with widespread use. In this paper, we develop two protocols for privately evaluating decision trees and random forests.  ...  Compared to previous semi-honest protocols for private decision tree evaluation, we demonstrate a tenfold improvement in computation and bandwidth.  ...  On the theoretical side, private decision tree evaluation falls into the category of private function evaluation (where we view the decision tree as the underlying private function to be evaluated).  ... 
doi:10.1515/popets-2016-0043 dblp:journals/popets/WuFNL16 fatcat:3rjbn2om3zh7ljvgaugfcatt24

Differentially Private Projected Histograms of Multi-Attribute Data for Classification [article]

Dong Su, Jianneng Cao, Ninghui Li
2015 arXiv   pre-print
We introduce a modified $\chi^2$ quality function with low sensitivity and use it to evaluate an attribute's relevance to the classification label variable.  ...  In this paper, we tackle the problem of constructing a differentially private synopsis for the classification analyses.  ...  DiffPC-4.5 [17] is an interactive private algorithm for building a C4.5 decision tree classifier differential-privately.  ... 
arXiv:1504.05997v1 fatcat:lmzbhus7vjetpbqnrdxsxbdclm

Oblivious Decision Programs from Oblivious Transfer: Efficient Reductions [chapter]

Payman Mohassel, Salman Niksefat
2012 Lecture Notes in Computer Science  
Consider a general form of the problem where a client who holds a private input interacts with a server who holds a private decision program (e.g. a decision tree or a branching program) with the goal  ...  Examples include private keyword search [9, 12] , private element rank [11] , and even more generally, the problem of oblivious decision tree, and branching program evaluation [19, 6] .  ...  Secure Evaluation of Decision Trees In this section we propose a new protocol for secure evaluation of any publicly known decision tree with privately held terminal nodes on private inputs.  ... 
doi:10.1007/978-3-642-32946-3_20 fatcat:e54jubylufc5vf3y47iqee6gqi

Private yet Efficient Decision Tree Evaluation [chapter]

Marc Joye, Fariborz Salehi
2018 Lecture Notes in Computer Science  
Both inputs need to be kept private. In this work, we present efficient protocols for privately evaluating decision trees.  ...  Our design reduces the complexity of existing solutions with a more interactive setting, which improves the total number of comparisons to evaluate the decision tree.  ...  Decision trees are non-linear models for classification, yet they are easy to interpret since their evaluation simply corresponds to a tree traversal.  ... 
doi:10.1007/978-3-319-95729-6_16 fatcat:mgz4k5optfdbnesesf55kjhrwy

Payment for Ecosystem Services: The roles of positive incentives and information sharing in stimulating adoption of silvopastoral conservation practices

Kelly Garbach, Mark Lubell, Fabrice A.J. DeClerck
2012 Agriculture, Ecosystems & Environment  
We evaluated adoption of silvopastoral conservation practices-reintroducing trees and shrubs into permanent pastures-that provide varying proportions of public and private benefits; we estimated influence  ...  Our analysis included evaluation of information sharing pathways and accounted for key farm capital characteristics.  ...  Each PES treatment group was evaluated separately, with the baseline category being non-participation in PES; other independent variables included the measures of social information and farm capital suggested  ... 
doi:10.1016/j.agee.2012.04.017 fatcat:flfwjdu5zjdbplgfw7mtvgjvha

Constructing the FEEM sustainability index: A Choquet integral application

Mehmet Pinar, Caterina Cruciani, Silvio Giove, Matteo Sostero
2014 Ecological Indicators  
decision maker through the description of the ANDNESS and interaction indices for all sub-nodes of the FEEM SI decision tree.  ...  This approach uses the structure of the tree and, depending on p, can be non-compensative, but in its simplest case is applied uniformly to every component of a single node and does not use the evaluation  ... 
doi:10.1016/j.ecolind.2013.12.012 fatcat:djzvdu3jzvbfrc2nzzuhdxunpe

Constructing the Feem Sustainability Index: A Choquet-Integral Application

Caterina Cruciani, Silvio Giove, Mehmet Pinar, Matteo Sostero
2012 Social Science Research Network  
decision maker through the description of the ANDNESS and interaction indices for all sub-nodes of the FEEM SI decision tree.  ...  This approach uses the structure of the tree and, depending on p, can be non-compensative, but in its simplest case is applied uniformly to every component of a single node and does not use the evaluation  ... 
doi:10.2139/ssrn.2123054 fatcat:qkpzuxipw5gcxdsbwx45kwo2r4

Constructing the FEEM Sustainability Index: A Choquet-Integral Application

Caterina Cruciani, Silvio Giove, Mehmet Pinar, Matteo Sostero
2013 Social Science Research Network  
decision maker through the description of the ANDNESS and interaction indices for all sub-nodes of the FEEM SI decision tree.  ...  This approach uses the structure of the tree and, depending on p, can be non-compensative, but in its simplest case is applied uniformly to every component of a single node and does not use the evaluation  ... 
doi:10.2139/ssrn.2232729 fatcat:sokfp4v7o5f4vojrtpotaholla

The Not-So-Dark Side of Materialism: Can Public Versus Private Contexts Make Materialists Less Eco-Unfriendly?

Luxiao Wang, Dian Gu, Jiang Jiang, Ying Sun
2019 Frontiers in Psychology  
The present research focused on whether the public (versus private) nature of a decision context will make materialists behave in more eco-friendly ways.  ...  In Study 1, the behavioral decision context (public vs. private) was manipulated to examine whether the relationship between materialism and pro-environmental behaviors would vary as a function of the  ...  Moreover, after controlling demographic variables, the main effect of materialism and decision context remained non-significant, and the interaction effect was still significant, F (1,123) = 8.20, p =  ... 
doi:10.3389/fpsyg.2019.00790 pmid:31024411 pmcid:PMC6460118 fatcat:kcf3uzbhsvf7jgcm6zj6kecz34

An Introduction to the Economics of Forest Disturbance [chapter]

Thomas P. Holmes, Jeffrey P. Prestemon, Karen L. Abt
2008 Forestry sciences  
Management interventions typically focus on the decision of whether or not to remove damaged trees.  ...  The loss of aesthetic value, shading, and other non-market benefits of trees due to drought is compounded by the costs of removing and replacing dead and dying trees.  ... 
doi:10.1007/978-1-4020-4370-3_1 fatcat:cikgh3pt7bey3l5735wlsvbaje

Private Evaluation of Decision Trees using Sublinear Cost

Anselme Tueno, Florian Kerschbaum, Stefan Katzenbeisser
2019 Proceedings on Privacy Enhancing Technologies  
In this paper, we address the problem of privately evaluating a decision tree on private data.  ...  In this scenario, the server holds a private decision tree model and the client wants to classify its private attribute vector using the server's private model.  ...  Finally, the server privately evaluates the polynomial and returns the result to the client. Privacy of the tree is guaranteed by the fact that the server evaluates the polynomial non-interactively.  ... 
doi:10.2478/popets-2019-0015 dblp:journals/popets/TuenoKK19 fatcat:3cbbw5i3ijarzce5obthny2jda

Prediction of Student Dropout in Malaysian's Private Higher Education Institute using Data Mining Application

Nurhana Roslan Et.al
2021 Turkish Journal of Computer and Mathematics Education  
In this study, 2 popular classifiers were utilized to predict the student dropout namely decision tree and logistic regression model respectively.  ...  The result indicates that, decision tree - chi-square (2 branches) achieved slightly better classification performance of 89.49% on 80/20 data partitioning.  ...  Next, the decision tree models that consists of 6 models mainly refers to Decision Tree with (2 branches), Decision Tree with Entropy (2 branches), Decision Tree with Chi-Square (2 branches), Decision  ... 
doi:10.17762/turcomat.v12i3.1219 fatcat:wxof2t3q5veabcvju3zuxfp5g4

Can existing improvements of water, sanitation, and hygiene (WASH) in urban slums reduce the burden of typhoid fever in these settings?

Justin Im, Md Taufiqul Islam, Faisal Ahmmed, Deok Ryun Kim, Ashraful Islam Khan, Khalequ Zaman, Mohammad Ali, Florian Marks, Firdausi Qadri, Jerome Kim, John D Clemens
2020 Clinical Infectious Diseases  
We evaluated in Cox regression models whether residents of "good" WASH households experienced lower typhoid risk after controlling for potential confounders.  ...  We constructed virtual clusters (radius 50m) surrounding each household to evaluate whether "good" WASH prevalence modified typhoid risk in central household members.  ...  The resulting decision tree delineated 2 rules for "not Evaluation of the protective association between WASH and the rate of typhoid In the total population, in comparison with residence in a "not  ... 
doi:10.1093/cid/ciaa1429 pmid:32964216 fatcat:u7y6tzybkfbsxdv5o2vsxgmp3a
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