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	<title>deep fake &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/tag/deep-fake/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
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		<title>AI and US Election Rules</title>
		<link>https://noise.getoto.net/2023/10/20/ai-and-us-election-rules/</link>
		
		<dc:creator><![CDATA[Bruce Schneier]]></dc:creator>
		<pubDate>Fri, 20 Oct 2023 11:10:42 +0000</pubDate>
				<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[deep fake]]></category>
		<category><![CDATA[essays]]></category>
		<category><![CDATA[laws]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[voting]]></category>
		<guid isPermaLink="false">https://www.schneier.com/?p=67973</guid>

					<description><![CDATA[<p>If an AI breaks the rules for you, does that count as breaking the rules? This is the essential question being taken up by the Federal Election Commission this month, and public input is needed to curtail the potential for AI to take US campaigns (even more) off the rails.</p>
<p>At issue is whether candidates using AI to create deepfaked media for political advertisements should be considered fraud or legitimate electioneering. That is, is it allowable to use <a href="https://www.theverge.com/2023/6/8/23753626/deepfake-political-attack-ad-ron-desantis-donald-trump-anthony-fauci">AI image generators</a> to create photorealistic images depicting Trump hugging Anthony Fauci? And is it allowable to use ...</p>]]></description>
		
		
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			</item>
		<item>
		<title>Deepfake Election Interference in Slovakia</title>
		<link>https://noise.getoto.net/2023/10/06/deepfake-election-interference-in-slovakia/</link>
		
		<dc:creator><![CDATA[Bruce Schneier]]></dc:creator>
		<pubDate>Fri, 06 Oct 2023 07:04:28 +0000</pubDate>
				<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[deep fake]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[voting]]></category>
		<guid isPermaLink="false">https://www.schneier.com/?p=67872</guid>

					<description><![CDATA[<p>Well designed and well timed <a href="https://www.wired.co.uk/article/slovakia-election-deepfakes">deepfake</a> or two Slovakian politicians discussing how to rig the election:</p>
<blockquote><p>Šimečka and <i>Denník N</i> immediately denounced the audio as fake. The fact-checking department of news agency AFP <a href="https://fakty.afp.com/doc.afp.com.33WY9LF">said</a> the audio showed signs of being manipulated using AI. But the recording was posted during a 48-hour moratorium ahead of the polls opening, during which media outlets and politicians are supposed to stay silent. That meant, under Slovakia’s election rules, the post was difficult to widely debunk. And, because the post was audio, it exploited a loophole in Meta’s manipulated-media policy, which ...</p></blockquote>]]></description>
		
		
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			</item>
		<item>
		<title>Large Language Models and Elections</title>
		<link>https://noise.getoto.net/2023/05/04/large-language-models-and-elections/</link>
		
		<dc:creator><![CDATA[Bruce Schneier]]></dc:creator>
		<pubDate>Thu, 04 May 2023 10:45:30 +0000</pubDate>
				<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[deep fake]]></category>
		<category><![CDATA[essays]]></category>
		<category><![CDATA[transparency]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[voting]]></category>
		<guid isPermaLink="false">https://www.schneier.com/?p=67301</guid>

					<description><![CDATA[<p>Earlier this week, the Republican National Committee <a href="https://www.youtube.com/watch?v=kLMMxgtxQ1Y&#38;themeRefresh=1">released a video</a> that it claims was “built entirely with AI imagery.” The content of the ad isn’t especially novel—a dystopian vision of America under a second term with President Joe Biden—but the deliberate emphasis on the technology used to create it stands out: It’s a “<a href="https://adage.com/article/campaign-trail/daisy-50-america-s-influential-political-ad/294849">Daisy</a>” moment for the 2020s.</p>
<p>We should expect more of this kind of thing. The <a href="https://www.forbes.com/sites/craigsmith/2022/12/02/how-artificial-intelligence-swayed-the-midterm-electionsand-will-become-a-permanent-feature-of-democracy/?sh=13effb117b31">applications</a> of AI to political <a href="https://www.nytimes.com/2023/03/28/us/politics/artificial-intelligence-2024-campaigns.html">advertising</a> have not escaped campaigners, who are already “<a href="https://www.nytimes.com/2023/03/28/us/politics/artificial-intelligence-2024-campaigns.html">pressure testing</a>” possible uses for the technology. In the 2024 presidential election campaign, you can bank on the appearance of AI-generated personalized fundraising emails, text messages from chatbots urging you to vote, and maybe even some deepfaked campaign ...</p>]]></description>
		
		
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		<item>
		<title>Fooling a Voice Authentication System with an AI-Generated Voice</title>
		<link>https://noise.getoto.net/2023/03/01/fooling-a-voice-authentication-system-with-an-ai-generated-voice/</link>
		
		<dc:creator><![CDATA[Bruce Schneier]]></dc:creator>
		<pubDate>Wed, 01 Mar 2023 12:06:14 +0000</pubDate>
				<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[authentication]]></category>
		<category><![CDATA[banking]]></category>
		<category><![CDATA[biometrics]]></category>
		<category><![CDATA[deep fake]]></category>
		<category><![CDATA[fraud]]></category>
		<category><![CDATA[identification]]></category>
		<category><![CDATA[spoofing]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[voice recognition]]></category>
		<guid isPermaLink="false">https://www.schneier.com/?p=66991</guid>

					<description><![CDATA[A reporter used an AI synthesis of his own voice to fool the voice authentication system for Lloyd&#8217;s Bank.
]]></description>
		
		
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			</item>
		<item>
		<title>Detecting Deepfake Audio by Modeling the Human Acoustic Tract</title>
		<link>https://noise.getoto.net/2022/10/03/detecting-deepfake-audio-by-modeling-the-human-acoustic-tract/</link>
		
		<dc:creator><![CDATA[Bruce Schneier]]></dc:creator>
		<pubDate>Mon, 03 Oct 2022 11:25:45 +0000</pubDate>
				<category><![CDATA[academic papers]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[deep fake]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://www.schneier.com/?p=65920</guid>

					<description><![CDATA[<p>This is <a href="https://www.usenix.org/conference/usenixsecurity22/presentation/blue">interesting research</a>:</p>
<blockquote><p>In this paper, we develop a new mechanism for detecting audio deepfakes using techniques from the field of articulatory phonetics. Specifically, we apply fluid dynamics to estimate the arrangement of the human vocal tract during speech generation and show that deepfakes often model impossible or highly-unlikely anatomical arrangements. When parameterized to achieve 99.9% precision, our detection mechanism achieves a recall of 99.5%, correctly identifying all but one deepfake sample in our dataset.</p></blockquote>
<p>From an <a href="https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104">article...</a></p>]]></description>
		
		
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		<item>
		<title>Identifying Computer-Generated Faces</title>
		<link>https://noise.getoto.net/2021/09/15/identifying-computer-generated-faces/</link>
		
		<dc:creator><![CDATA[Bruce Schneier]]></dc:creator>
		<pubDate>Wed, 15 Sep 2021 15:31:02 +0000</pubDate>
				<category><![CDATA[academic papers]]></category>
		<category><![CDATA[deep fake]]></category>
		<category><![CDATA[identification]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://www.schneier.com/?p=63675</guid>

					<description><![CDATA[<p>It’s the <a href="https://techxplore.com/news/2021-09-computer-generated.html">eyes</a>:</p>
<blockquote><p>The researchers note that in many cases, users can simply zoom in on the eyes of a person they suspect may not be real to spot the pupil irregularities. They also note that it would not be difficult to write software to spot such errors and for social media sites to use it to remove such content. Unfortunately, they also note that now that such irregularities have been identified, the people creating the fake pictures can simply add a feature to ensure the roundness of pupils.</p></blockquote>
<p>And the arms race continues….</p>
<p>Research <a href="https://arxiv.org/abs/2109.00162">paper</a>.</p>
...]]></description>
		
		
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