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		<title>New Encryption Trick Lets Clouds Crunch Sensitive Satellite Images Without Ever Seeing Them</title>
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				<category><![CDATA[Technology]]></category>
		<category><![CDATA[cloud computing]]></category>
		<category><![CDATA[cryptography]]></category>
		<category><![CDATA[data privacy]]></category>
		<category><![CDATA[hyper-spectral imaging]]></category>
		<category><![CDATA[image segmentation]]></category>
		<category><![CDATA[joint sparse coding]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[matrix blinding]]></category>
		<category><![CDATA[matrix outsourcing]]></category>
		<category><![CDATA[privacy-preserving computation]]></category>
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					<description><![CDATA[Researchers have unveiled a matrix-blinding framework that lets resource-constrained clients outsource heavy hyper-spectral image analysis to untrusted cloud servers while cutting computation time by up to 80 percent and keeping the data fully hidden.]]></description>
		
		
		
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