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	<title>AES &#8211; BIOENGINEER.ORG</title>
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		<title>AI Learns to Break Encryption by Listening to a Chip&#8217;s Power Whispers</title>
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		<pubDate>Sat, 10 Oct 2026 21:30:40 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AES]]></category>
		<category><![CDATA[collision attack]]></category>
		<category><![CDATA[contrastive learning]]></category>
		<category><![CDATA[cryptography]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[key recovery]]></category>
		<category><![CDATA[masking countermeasures]]></category>
		<category><![CDATA[power traces]]></category>
		<category><![CDATA[PRESENT]]></category>
		<category><![CDATA[Self-Supervised Learning]]></category>
		<category><![CDATA[side-channel analysis]]></category>
		<category><![CDATA[SM4]]></category>
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					<description><![CDATA[Researchers have combined contrastive learning with side-channel collision attacks, boosting key-recovery success rates by up to nearly 78 percent across masked AES, SM4, and PRESENT implementations.]]></description>
		
		
		
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