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		<title>Hidden Messages in AI Text: New Steganography Method Boosts Capacity Twentyfold</title>
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		<pubDate>Tue, 13 Oct 2026 11:56:58 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[covert communication]]></category>
		<category><![CDATA[cybersecurity]]></category>
		<category><![CDATA[diffusion language models]]></category>
		<category><![CDATA[distribution preservation]]></category>
		<category><![CDATA[embedding capacity]]></category>
		<category><![CDATA[entropy]]></category>
		<category><![CDATA[information hiding]]></category>
		<category><![CDATA[information theory]]></category>
		<category><![CDATA[linguistic steganography]]></category>
		<category><![CDATA[Natural Language Processing]]></category>
		<category><![CDATA[steganalysis]]></category>
		<category><![CDATA[text generation]]></category>
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					<description><![CDATA[A new framework called TE-CSA aggregates embedding opportunities across the entire denoising trajectory of diffusion language models, boosting hidden-message capacity in generated text by up to 18.6 times while preserving statistical undetectability.]]></description>
		
		
		
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