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		<title>Curriculum-trained GAN teaches steganography to hide data with pentary pixel changes</title>
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				<category><![CDATA[Technology]]></category>
		<category><![CDATA[costs]]></category>
		<category><![CDATA[curriculum learning]]></category>
		<category><![CDATA[embedding]]></category>
		<category><![CDATA[Enhancing]]></category>
		<category><![CDATA[generative adversarial networks]]></category>
		<category><![CDATA[image]]></category>
		<category><![CDATA[image security]]></category>
		<category><![CDATA[learning]]></category>
		<category><![CDATA[pentary]]></category>
		<category><![CDATA[pentary embedding]]></category>
		<category><![CDATA[steganalysis]]></category>
		<category><![CDATA[steganography]]></category>
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					<description><![CDATA[Researchers in China have developed a new artificial intelligence framework that teaches steganographic systems how to hide secret messages inside images more securely than ever before, particularly when the hidden payload is large. The work, published in the journal Cybersecurity,]]></description>
		
		
		
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