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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2401.15817/</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/2401.15817/feed.xml" rel="self" type="application/rss+xml" /><item><title>Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception — mentioned by squarefoot</title><link>https://news.ycombinator.com/item?id=40561220</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.15817:40561220</guid><pubDate>Mon, 03 Jun 2024 10:29:04 GMT</pubDate><description>&lt;p&gt;Because you know, AI never gets an image wrong, right? https://arxiv.org/pdf/2401.15817 Quite long paper, but rich in examples that speak for themselves, like AI mistaking a Starbucks logo for a Ferrari one, or an airplane for a baby stroller, etc. CSAM producers will always find a way to poison images or use other tricks to conceal them. There was one in fact years ago that involved appending a .rar archive to a .jpg image without renaming the image (including the .jpg suffix): an image viewer would correctly show the image ignoring the following data, while a .rar unpacker would ignore…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.15817/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
