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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1802.00420/</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/1802.00420/feed.xml" rel="self" type="application/rss+xml" /><item><title>Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples — mentioned by visarga</title><link>https://news.ycombinator.com/item?id=16296167</link><guid isPermaLink="false">urn:hackerpapers:mention:1802.00420:16296167</guid><pubDate>Sat, 03 Feb 2018 04:27:19 GMT</pubDate><description>&lt;p&gt;&amp;gt; Letting a computer drive my car is high-risk: If there is a malfunction at 70mph, I could die! Google can&amp;#x27;t even make GPS mapping work perfectly - it&amp;#x27;s apparent if you use it for a day. Not to mention that AI vision systems are susceptible to adversarial attacks, which means they can be hacked by external images. This paper just came out yesterday: &amp;quot;Breaking 7/8 of the ICLR 2018 adversarial example defenses&amp;quot; (https://arxiv.org/abs/1802.00420). The situation is dire. I think they are afraid that drawing a couple of lines with a marker on a street sign might make it invisible, or turn it into…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1802.00420/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
