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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1708.06733/</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/1708.06733/feed.xml" rel="self" type="application/rss+xml" /><item><title>BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain — mentioned by esalman</title><link>https://news.ycombinator.com/item?id=36947463</link><guid isPermaLink="false">urn:hackerpapers:mention:1708.06733:36947463</guid><pubDate>Mon, 31 Jul 2023 19:17:00 GMT</pubDate><description>&lt;p&gt;Nice, thanks. I knew of arxiv vanity as well- https://www.arxiv-vanity.com/papers/1708.06733/&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1708.06733/"&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>BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain — mentioned by moyix</title><link>https://news.ycombinator.com/item?id=34941348</link><guid isPermaLink="false">urn:hackerpapers:mention:1708.06733:34941348</guid><pubDate>Sat, 25 Feb 2023 23:03:21 GMT</pubDate><description>&lt;p&gt;Adversarial attacks are inference-time, backdoors are training time. This paper isn&amp;#x27;t the first to propose the idea of backdooring DNNs (I believe our paper [1], concurrently with a couple others [2,3], did that). But it makes a big step forward by showing that through some cryptographic trickery you can prove that the backdoor can&amp;#x27;t be detected. [1] https://arxiv.org/abs/1708.06733 [2] https://www.ndss-symposium.org/wp-content/uploads/2018/02/nd... [3] https://arxiv.org/abs/1712.05526&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1708.06733/"&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>BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain — mentioned by alexott</title><link>https://news.ycombinator.com/item?id=15578478</link><guid isPermaLink="false">urn:hackerpapers:mention:1708.06733:15578478</guid><pubDate>Sun, 29 Oct 2017 08:12:04 GMT</pubDate><description>&lt;p&gt;Related article: &amp;quot;BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain&amp;quot; (https://arxiv.org/abs/1708.06733)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1708.06733/"&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>BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain — HN submission</title><link>https://news.ycombinator.com/item?id=15466259</link><guid isPermaLink="false">urn:hackerpapers:submission:1708.06733:15466259</guid><pubDate>Fri, 13 Oct 2017 14:57:49 GMT</pubDate><description>&lt;p&gt;Vulnerabilities in the machine learning model supply chain&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1708.06733/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item><item><title>BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain — HN submission</title><link>https://news.ycombinator.com/item?id=15099121</link><guid isPermaLink="false">urn:hackerpapers:submission:1708.06733:15099121</guid><pubDate>Fri, 25 Aug 2017 15:29:55 GMT</pubDate><description>&lt;p&gt;BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain&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/1708.06733/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item><item><title>BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain — HN submission</title><link>https://news.ycombinator.com/item?id=15081554</link><guid isPermaLink="false">urn:hackerpapers:submission:1708.06733:15081554</guid><pubDate>Wed, 23 Aug 2017 13:57:42 GMT</pubDate><description>&lt;p&gt;BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;5 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1708.06733/"&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>
