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	<title>taxonomies &#8211; Noise</title>
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	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
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		<title>A Taxonomy of Adversarial Machine Learning Attacks and Mitigations</title>
		<link>https://noise.getoto.net/2025/03/27/a-taxonomy-of-adversarial-machine-learning-attacks-and-mitigations/</link>
		
		<dc:creator><![CDATA[Bruce Schneier]]></dc:creator>
		<pubDate>Thu, 27 Mar 2025 11:00:32 +0000</pubDate>
				<category><![CDATA[machine learning]]></category>
		<category><![CDATA[nist]]></category>
		<category><![CDATA[taxonomies]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://www.schneier.com/?p=70050</guid>

					<description><![CDATA[NIST just released a comprehensive taxonomy of adversarial machine learning attacks and countermeasures.
]]></description>
		
		
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		<item>
		<title>Taxonomy of Generative AI Misuse</title>
		<link>https://noise.getoto.net/2024/08/12/taxonomy-of-generative-ai-misuse/</link>
		
		<dc:creator><![CDATA[Bruce Schneier]]></dc:creator>
		<pubDate>Mon, 12 Aug 2024 10:14:08 +0000</pubDate>
				<category><![CDATA[academic papers]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[taxonomies]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://www.schneier.com/?p=69242</guid>

					<description><![CDATA[<p>Interesting paper: “<a href="https://arxiv.org/abs/2406.13843">Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data</a>”:</p>
<blockquote><p>Generative, multimodal artificial intelligence (GenAI) offers transformative potential across industries, but its misuse poses significant risks. Prior research has shed light on the potential of advanced AI systems to be exploited for malicious purposes. However, we still lack a concrete understanding of how GenAI models are specifically exploited or abused in practice, including the tactics employed to inflict harm. In this paper, we present a taxonomy of GenAI misuse tactics, informed by existing academic literature and a qualitative analysis of approximately 200 observed incidents of misuse reported between January 2023 and March 2024. Through this analysis, we illuminate key and novel patterns in misuse during this time period, including potential motivations, strategies, and how attackers leverage and abuse system capabilities across modalities (e.g. image, text, audio, video) in the wild...</p></blockquote>]]></description>
		
		
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		<title>A Taxonomy of Access Control</title>
		<link>https://noise.getoto.net/2022/08/12/a-taxonomy-of-access-control/</link>
		
		<dc:creator><![CDATA[Bruce Schneier]]></dc:creator>
		<pubDate>Fri, 12 Aug 2022 11:38:10 +0000</pubDate>
				<category><![CDATA[cryptocurrency]]></category>
		<category><![CDATA[Cryptography]]></category>
		<category><![CDATA[keys]]></category>
		<category><![CDATA[taxonomies]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://www.schneier.com/?p=65764</guid>

					<description><![CDATA[<p>My personal definition of a brilliant idea is one that is immediately obvious once it’s explained, but no one has thought of it before. I can’t believe that no one has described this taxonomy of access control before Ittay Eyal laid it out in <a href="https://eprint.iacr.org/2021/1522.pdf">this</a> paper. The paper is about cryptocurrency wallet design, but the ideas are more general. Ittay points out that a key—or an account, or anything similar—can be in one of four states:</p>
<blockquote><p><b>safe</b> Only the user has access,<br>
<b>loss</b> No one has access,<br>
<b>leak</b> Both the user and the adversary have access, or<br>
<b>theft</b> Only the adversary has access...</p></blockquote>]]></description>
		
		
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