{"version":"1.0","provider_name":"inovex GmbH","provider_url":"https:\/\/www.inovex.de\/de\/","author_name":"Hendrik Pauthner","author_url":"https:\/\/www.inovex.de\/de\/blog\/author\/hpauthner\/","title":"Robustifying Machine Perception for Face Recognition Systems","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"kaYaoGYgDi\"><a href=\"https:\/\/www.inovex.de\/de\/blog\/machine-perception-face-recognition\/\">Robustifying Machine Perception for Image Recognition Systems: Defense Against the Dark Arts<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.inovex.de\/de\/blog\/machine-perception-face-recognition\/embed\/#?secret=kaYaoGYgDi\" width=\"600\" height=\"338\" title=\"&#8222;Robustifying Machine Perception for Image Recognition Systems: Defense Against the Dark Arts&#8220; &#8211; inovex GmbH\" data-secret=\"kaYaoGYgDi\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!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);\n\/\/# sourceURL=https:\/\/www.inovex.de\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/www.inovex.de\/wp-content\/uploads\/2019\/04\/machine-perception-traffic-signs.png","thumbnail_width":1920,"thumbnail_height":1080,"description":"Despite their outstanding performance on various tasks, machine perception systems are not infallible. We highlight this problem by means of particular adversarial glasses that manage to force face recognition systems to make mistakes und we show how to achieve robustness against such attacks."}