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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2407.09717/</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/2407.09717/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations — HN submission</title><link>https://news.ycombinator.com/item?id=41116682</link><guid isPermaLink="false">urn:hackerpapers:submission:2407.09717:41116682</guid><pubDate>Wed, 31 Jul 2024 05:54:15 GMT</pubDate><description>&lt;p&gt;Deep-Tempest: Using Deep Learning to Eavesdrop on HDMI&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;86 points; 15 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2407.09717/"&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>Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations — mentioned by gnabgib</title><link>https://news.ycombinator.com/item?id=41112088</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.09717:41112088</guid><pubDate>Tue, 30 Jul 2024 17:50:11 GMT</pubDate><description>&lt;p&gt;The paper https://arxiv.org/abs/2407.09717 (submission: https://news.ycombinator.com/item?id=41106922)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.09717/"&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>Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations — HN submission</title><link>https://news.ycombinator.com/item?id=41106922</link><guid isPermaLink="false">urn:hackerpapers:submission:2407.09717:41106922</guid><pubDate>Tue, 30 Jul 2024 07:43:39 GMT</pubDate><description>&lt;p&gt;Deep-Tempest:Using Deep Learning to Eavesdrop on HDMI&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/2407.09717/"&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>Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations — HN submission</title><link>https://news.ycombinator.com/item?id=41013576</link><guid isPermaLink="false">urn:hackerpapers:submission:2407.09717:41013576</guid><pubDate>Sat, 20 Jul 2024 02:35:02 GMT</pubDate><description>&lt;p&gt;Deep Learning to Eavesdrop on HDMI from Unintended Electromagnetic Emanations&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2407.09717/"&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>
