1.0IMDEA Networkshttps://networks.imdea.org/esalejandro_delgadohttps://networks.imdea.org/es/author/alejandro_delgado/Privacy-Preserving Machine Learning - IMDEA Networksrich600338<blockquote class="wp-embedded-content" data-secret="sf69KcSHqL"><a href="https://networks.imdea.org/es/actualidad/agenda-de-eventos/privacy-preserving-machine-learning/">Privacy-Preserving Machine Learning</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://networks.imdea.org/es/actualidad/agenda-de-eventos/privacy-preserving-machine-learning/embed/#?secret=sf69KcSHqL" width="600" height="338" title="«Privacy-Preserving Machine Learning» — IMDEA Networks" data-secret="sf69KcSHqL" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
/* <![CDATA[ */
/*! This file is auto-generated */
!function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document);
//# sourceURL=https://networks.imdea.org/wp-includes/js/wp-embed.min.js
/* ]]> */
</script>
https://networks.imdea.org/wp-content/uploads/2022/07/media-file-vittorio-prodomo-web.jpg750500Enabling open circulation of training labeled data in industrial environments may improve many machine learning based processes that are currently employing, for privacy concerns, only internally gathered data. To get to this scenario, data exchanged among parties shall be conveniently anonymized to prevent possible confidentiality and privacy issues. This problem also arises in another context,...