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Privacy preserving data visualizations

Demetris Avraam, Rebecca Wilson, Oliver Butters, Thomas Burton, Christos Nicolaides, Elinor Jones, Andy Boyd, Paul Burton
2021 EPJ Data Science  
we propose the use of anonymization techniques to generate privacy-preserving visualizations that retain the statistical properties of the underlying data while still adhering to strict data disclosure  ...  We apply the proposed methods to generate privacy-preserving data visualizations for exploratory data analysis and inferential regression plot diagnostics, and we discuss their strengths and limitations  ...  Funding This work was funded under a group of projects that underpin a program addressing the development and application of secure methods for co-analysis, data sharing and visualization of sensitive  ... 
doi:10.1140/epjds/s13688-020-00257-4 pmid:33442528 pmcid:PMC7790778 fatcat:lmbanwnvyvcgxe3me2t2ays4ty

Privacy-preserving data visualization using parallel coordinates

Aritra Dasgupta, Robert Kosara
2011 Visualization and Data Analysis 2011  
With this goal in mind, in this paper, we analyze the issue of privacy from a visualization perspective and propose a privacy-preserving visualization technique based on clustering in parallel coordinates  ...  The field of data mining has developed a variety of ways for dealing with such data, and has established an entire subfield for privacy-preserving data mining.  ...  Privacy-Preserving Data Visualization (PPDV) We propose the development of privacy-preserving data visualization (PPDV) techniques which, like PPDM, aim to prevent linking sensitive data with externally  ... 
doi:10.1117/12.872635 dblp:conf/vda/DasguptaK11 fatcat:c3l5zuoomza3lm5y7dskoirfb4

A privacy-preserving approach to streaming eye-tracking data [article]

Brendan David-John, Diane Hosfelt, Kevin Butler, Eakta Jain
2021 IEEE Transactions on Visualization and Computer Graphics   accepted
Our approach is the first to support privacy-by-design in the flow of eye-tracking data within mixed reality use cases.  ...  Gaze data streams can thus be made private while still allowing for gaze prediction, for example, during foveated rendering.  ...  Our privacy-preserving solution is focused on preventing biometric identification of users from their gaze data.  ... 
doi:10.1109/tvcg.2021.3067787 pmid:33750711 arXiv:2102.01770v2 fatcat:7bccozdfh5d75f6e3k55synvoa

An information-aware visualization for privacy-preserving accelerometer data sharing

Fengjun Xiao, Mingming Lu, Ying Zhao, Soumia Menasria, Dan Meng, Shangsheng Xie, Juncai Li, Chengzhi Li
2018 Human-Centric Computing and Information Sciences  
To well balance the application utility and privacy leakage for data sharing, we utilize mutual information and visualization techniques to analyze the impact of the underlying factors on utility and privacy  ...  Although numerous privacy preservation techniques, such as perturbation, encryption, and anonymization, have been proposed to conceal sensitive information, it is usually at the cost of the application  ...  "Visualization based privacypreserving scheme" describes the interactive visualization tool designed to provide a customized privacy preserving data sharing solution.  ... 
doi:10.1186/s13673-018-0137-6 fatcat:6vnvmntzinfgpkpvfyfkszapum

Achieving Lightweight Verifiable Privacy Preserving Search Over Encrypted Data

Selasi Kwame Ocansey, Charles Fynn Oduro
2019 JOIV: International Journal on Informatics Visualization  
A lightweight privacy preserving verifiable scheme for outsourcingdatabase securely is proposed, our scheme encrypts data before outsourcing and returned query results are verified with parameters of correctness  ...  We also evaluate our scheme's performances over two UCI data sets.  ...  Security in data outsourcing involves its privacy and integrity [1] .  ... 
doi:10.30630/joiv.3.3.267 fatcat:zcrll3w57bhx5ghkdosy5lhpvm

Preserving Data Privacy with Record Retrieval using Visual Cryptography and Encryption Techniques

Hare Ram Sah, G. Gunasekaran
2016 Indian Journal of Science and Technology  
In shared data applications encryption is used to achieve privacy of sensitive (personal) data from unauthorized users.  ...  Novelty/Improvement: The algorithm is novel in the sense that uncorrelatedness among the different user's data is preserved, along with complete sharing.  ...  These encryption methods Preserving Data Privacy with Record Retrieval using Visual Cryptography and Encryption Techniques are providing only the access control schemes over secured data rather than secure  ... 
doi:10.17485/ijst/2016/v9i32/88703 fatcat:45ztmzbhuvetxnxfxgxheyhvnq

Efficiency Privacy Preservation Scheme for Distributed Digital Document using Cache-Cache Mechanism

Shiny MalarF.R, Jeya Kumar M.K
2012 International Journal of Computer Applications  
with low visual quality, leading to loss of privacy data while sharing.  ...  data Step 11: End The above figure3 presents the CCM for privacy preservation scheme.  ... 
doi:10.5120/8889-2890 fatcat:hruzq7rbfzectnttolledkbqxe

Measuring Privacy and Utility in Privacy-Preserving Visualization

Aritra Dasgupta, Min Chen, Robert Kosara
2013 Computer graphics forum (Print)  
Privacy preservation generally entails a trade-off between privacy and utility: the more the data is protected, the less useful the visualization.  ...  In previous work, we proposed a technique for preserving the privacy of quasi-identifiers in sensitive data when visualized using parallel coordinates.  ...  We recently introduced a technique for privacy-preserving data visualization (PPDV) using parallel coordinates [DK11] , which is based on ideas from privacy-preserving data mining (PPDM).  ... 
doi:10.1111/cgf.12142 fatcat:mqpkhurscvgfhbs57znaphgfky

Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases [article]

Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers
2022 arXiv   pre-print
We present Visualizing Privacy (ViP), an interactive interface that visualizes relationships between ϵ, accuracy, and disclosure risk to support setting and splitting ϵ among queries.  ...  If no steps toward preserving privacy are taken, adversaries may use released statistics to deduce unauthorized information about the individuals described in the private dataset.  ...  Figure 4 shows an up-close il-lustration of the visualization for the Hispanic or Latino group's data in the Ethnicity query panel. Privacy-Preserving Release HOP.  ... 
arXiv:2201.05964v1 fatcat:iyjigybykzao5mcnnpw7oiu6nm

Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases

Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers
2022 Proceedings on Privacy Enhancing Technologies  
We present Visualizing Privacy (ViP), an interactive interface that visualizes relationships between ɛ, accuracy, and disclosure risk to support setting and splitting ɛ among queries.  ...  If no steps toward preserving privacy are taken, adversaries may use released statistics to deduce unauthorized information about the individuals described in the private dataset.  ...  Figure 4 shows an up-close illustration of the visualization for the Hispanic or Latino group's data in the Ethnicity query panel. Privacy-Preserving Release HOP.  ... 
doi:10.2478/popets-2022-0058 fatcat:abrrbombvzasnbcblxqlnulynm

Privacy Issues in Geospatial Visual Analytics [chapter]

Gennady Andrienko, Natalia Andrienko
2012 Lecture Notes in Geoinformation and Cartography  
The privacy issues particularly related to the use of visual and interactive methods are currently studied neither in the areas of visualization and visual analytics nor in the area of data mining and  ...  Visual and interactive techniques can pose specific challenges to personal privacy by enabling a human analyst to link data to context, preexisting knowledge, and additional information obtained from various  ...  in the intersection of mobility, data mining, and privacy preservation.  ... 
doi:10.1007/978-3-642-24198-7_16 fatcat:i6fmnonqojebrodsouullml4zq

Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking [article]

Darren Edge, Weiwei Yang, Kate Lytvynets, Harry Cook, Claire Galez-Davis, Hannah Darnton, Christopher M. White
2020 arXiv   pre-print
might be linked to known individuals or groups; (2) aggregate data mitigating the utility risk that synthetic data might misrepresent statistics needed for official reporting; and (3) visual analytics  ...  We present new methods to anonymize, publish, and explore such data, implemented as a pipeline generating three artifacts: (1) synthetic data mitigating the privacy risk that published attribute combinations  ...  Privacy-preserving visual analytics In addition to the many different approaches to data anonymization, there is also a small body of published work on privacy-preserving visualization and visual analytics  ... 
arXiv:2005.05688v2 fatcat:ep72y2ehnfdfdepffrlikfccaa

Secured Privacy Preserving Mechanism for Distributed Digital Documents

F.R. Shiny Malar, M.K. Jeyakumar
2015 Research Journal of Applied Sciences Engineering and Technology  
Experimentation carried out with bench mark data sets of real and synthetically generated data sets estimate the performance of Secured Privacy Preserving Mechanism for distributed digital document (SPPM  ...  The unauthorized nature of data and sharing control systems, breach their privacy.  ...  Privacy-preserving data mining has abundant applications in observation, which are logically standard to privacy-violating requests.  ... 
doi:10.19026/rjaset.10.2456 fatcat:cwthl4ri7nfnvaiexusib7ibni

A Review on Visual Privacy Preservation Techniques for Active and Assisted Living [article]

Siddharth Ravi, Pau Climent-Pérez, Francisco Florez-Revuelta
2021 arXiv   pre-print
A high-level classification scheme of the different levels of privacy by design is connected to the proposed taxonomy of visual privacy preservation techniques.  ...  These are a category of visual privacy preservation techniques particularly relevant when considering scenarios that come under video-based AAL monitoring.  ...  Acknowledgements This work is part of the visuAAL project on Privacy-Aware and Acceptable Video-Based Technologies and Services for Active and Assisted Living (https://www.visuaal-itn.eu/).  ... 
arXiv:2112.09422v1 fatcat:rf2zx3vrq5esnn2dujo6h3scri

Block Scrambling Image Encryption Used in Combination with Data Augmentation for Privacy-Preserving DNNs [article]

Tatsuya Chuman, Hitoshi Kiya
2021 arXiv   pre-print
In this paper, we propose a novel learnable image encryption method for privacy-preserving deep neural networks (DNNs).  ...  In an image classification experiment, the proposed method is demonstrated to be effective in privacy-preserving DNNs.  ...  Augmentation for Privacy-Preserving DNNs  ... 
arXiv:2104.01398v2 fatcat:i3pezvbdb5ffjgibdmiebxz6vi
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