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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1811.03194/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1811.03194/feed.xml" rel="self" type="application/rss+xml" /><item><title>AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning — mentioned by NegativeLatency</title><link>https://news.ycombinator.com/item?id=40683457</link><guid isPermaLink="false">urn:hackerpapers:mention:1811.03194:40683457</guid><pubDate>Fri, 14 Jun 2024 18:25:06 GMT</pubDate><description>&lt;p&gt;I guess we&amp;#x27;re upping the ante on how to identify an ad. The next ad-blocking arms race will be between perceptual ad blockers and the companies trying to embed ads that look like part of the content (ai vs ai). https://arxiv.org/abs/1811.03194&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1811.03194/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item><item><title>AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning — mentioned by ameshkov</title><link>https://news.ycombinator.com/item?id=22446533</link><guid isPermaLink="false">urn:hackerpapers:mention:1811.03194:22446533</guid><pubDate>Fri, 28 Feb 2020 21:27:24 GMT</pubDate><description>&lt;p&gt;There is another interesting paper on a similar topic that proves that this approach is vulnerable to different adversarial attacks, for instance, you can make it block legitimate content, or you can conceal ads by adding an overlay invisible to a human eye. https://arxiv.org/abs/1811.03194&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1811.03194/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item><item><title>AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=18414526</link><guid isPermaLink="false">urn:hackerpapers:submission:1811.03194:18414526</guid><pubDate>Fri, 09 Nov 2018 14:24:23 GMT</pubDate><description>&lt;p&gt;Ad-Versarial: Defeating Perceptual Ad-Blocking&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1811.03194/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item></channel></rss>
