{"id":168249,"date":"2023-05-24T12:00:00","date_gmt":"2023-05-24T11:00:00","guid":{"rendered":"https:\/\/liora.io\/en\/?p=168249"},"modified":"2026-02-06T09:02:33","modified_gmt":"2026-02-06T08:02:33","slug":"data-anonymization-the-reliable-and-validated-method-of-octopize","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/data-anonymization-the-reliable-and-validated-method-of-octopize","title":{"rendered":"Data Anonymization, the Reliable and Validated Method of Octopize"},"content":{"rendered":"<p><strong>To allow a freer use of personal data in medicine, the startup Octopize develops its Avatar method. A reliable technology capable of completely anonymizing data.<\/strong><\/p>\n<h3>What is Avatar?<\/h3>\n<p>Published on <b>March 10<\/b> in an article in <a href=\"https:\/\/www.nature.com\/articles\/s41746-023-00771-5\" target=\"_blank\" rel=\"noopener\">Nature Digital Medicine<\/a>, <b>Octopize<\/b>, in collaboration with the University Hospital of Nantes, Nantes University, INSERM and \u00c9cole Centrale Nantes, explains how Avatar works.<\/p>\n<p>On the market, many methods claim to be able to<b> anonymize personal data<\/b>. In reality, these data are only <b>pseudonymized<\/b> and run the risk of being re-identified. The Avatar method completely anonymizes the data and therefore <b>avoids<\/b> the risk of re-identification. By drawing on the individual&#8217;s data, <a href=\"https:\/\/liora.io\/en\/algorithm-what-is-it\" target=\"_blank\" rel=\"noopener\">the Avatar algorithm<\/a> generates new synthetic data centered on the owner. The result is an <b>anonymized avatar<\/b> created by specific methods that do not exist in other anonymization methodologies.<\/p>\n<p>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"800\" src=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/6215778_58081-1024x1024.jpg\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/6215778_58081-1024x1024.jpg 1024w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/6215778_58081-300x300.jpg 300w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/6215778_58081-150x150.jpg 150w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/6215778_58081-768x768.jpg 768w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/6215778_58081-1536x1536.jpg 1536w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/6215778_58081-2048x2048.jpg 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/p>\n<h3>How do we ensure that the data is anonymized?<\/h3>\n<p>To ensure privacy, Avatar meets three criteria of <a href=\"https:\/\/www.cnil.fr\/fr\/le-comite-europeen-de-la-protection-des-donnees-cepd\" target=\"_blank\" rel=\"noopener\">the European Data Protection Committee<\/a>.&nbsp;<\/p>\n<p>The first is <b>individualization<\/b>. Avatars datasets are individualizable, so you can&#8217;t isolate an individual. The second criterion is <b>correlation<\/b>; Avatar prevents two datasets about the same group of individuals from being linked. The last point is <b>the inference<\/b>. This process blocks the ability to infer sensitive information about an individual.&nbsp;<\/p>\n<p>With Avatar&#8217;s non-personal data, <b>owners are free <\/b>to publish their datasets in open data, or to use them. This data can then be used to train AI models, contribute to researching and statistical studies in medicine and <b>many other fields<\/b>.<\/p>\n<p>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"476\" src=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/no-access-gd89fdd4d3_1280-1024x609.jpg\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/no-access-gd89fdd4d3_1280-1024x609.jpg 1024w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/no-access-gd89fdd4d3_1280-300x178.jpg 300w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/no-access-gd89fdd4d3_1280-768x457.jpg 768w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/no-access-gd89fdd4d3_1280.jpg 1280w\" sizes=\"(max-width: 800px) 100vw, 800px\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/p>\n<p>This method could <b>satisfy <\/b>the Data Protection Officer in charge of ensuring their company&#8217;s compliance with the RGPD. If you liked this article and if you are considering a career in Data Science, don&#8217;t hesitate to discover <a href=\"https:\/\/liora.io\/en\/blog-en\" target=\"_blank\" rel=\"noopener\">our articles<\/a> or <a href=\"\/en\/courses\/data-ai\/\" target=\"_blank\" rel=\"noopener\">our training offers<\/a> on Liora.<\/p>\n<p><i>Source : octopize.io<\/i><\/p>\n","protected":false},"excerpt":{"rendered":"<p>To allow a freer use of personal data in medicine, the startup Octopize develops its Avatar method. A reliable technology capable of completely anonymizing data. What is Avatar? Published on March 10 in an article in Nature Digital Medicine, Octopize, in collaboration with the University Hospital of Nantes, Nantes University, INSERM and \u00c9cole Centrale Nantes, [&hellip;]<\/p>\n","protected":false},"author":74,"featured_media":168250,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"_acf_changed":false,"editor_notices":[],"footnotes":""},"categories":[2426],"class_list":["post-168249","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cybersecurity"],"acf":[],"_links":{"self":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/168249","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/users\/74"}],"replies":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/comments?post=168249"}],"version-history":[{"count":1,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/168249\/revisions"}],"predecessor-version":[{"id":206405,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/168249\/revisions\/206405"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media\/168250"}],"wp:attachment":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media?parent=168249"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/categories?post=168249"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}