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Domain > brad-not-pitt.stonavan.com
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More information on this domain is in
AlienVault OTX
Is this malicious?
Yes
No
DNS Resolutions
Date
IP Address
2026-02-01
104.21.28.96
(
ClassC
)
Port 443
HTTP/1.1 200 OKDate: Sun, 01 Feb 2026 12:41:03 GMTContent-Type: text/html; charsetutf-8Transfer-Encoding: chunkedConnection: keep-aliveAccess-Control-Allow-Origin: *Cache-Control: public, max-age0, must-revalidatereferrer-policy: strict-origin-when-cross-originx-content-type-options: nosniffVary: accept-encodingReport-To: {group:cf-nel,max_age:604800,endpoints:{url:https://a.nel.cloudflare.com/report/v4?s1zfxM8sUTwZNJ4WN0VuM35jeDg2T7Pr%2F%2FwzeJr%2FhS3SeE%2FDrauSfvHiuBiseLLNhS5lccQ2G6PNRfStUM36m4c6ceZ2uw1fo3wvjkcuvj2am2pCpy9cCjgef}}Nel: {report_to:cf-nel,success_fraction:0.0,max_age:604800}Server: cloudflarecf-cache-status: DYNAMICCF-RAY: 9c7185525c4820eb-PDXalt-svc: h3:443; ma86400 !DOCTYPE html>html langen>head> meta charsetUTF-8> meta nameviewport contentwidthdevice-width, initial-scale1.0> meta http-equivX-UA-Compatible contentieedge> link relstylesheet hrefhttps://use.fontawesome.com/releases/v5.4.1/css/all.css integritysha384-5sAR7xN1Nv6T6+dT2mhtzEpVJvfS3NScPQTrOxhwjIuvcA67KV2R5Jz6kr4abQsz crossoriginanonymous> link relstylesheet hrefstyle.css> title>Brad Not-Pitt/title> meta namedescription contentBreaking AI-hearts /> !-- link relicon href./assets/tab_icon-01.png> -->/head>body> div classgrid-1> div classsection-1> div .section-1 classsection-1> div classtext-block> p classt1-desc> ResNet-50 was a state-of-the-art AI computer vision classification model in 2021. It uses deep learning to classify (label) images accurately, identifying objects like cats, dogs, and cars. This model is still widely used in various applications, from medical imaging to autonomous driving. br> Adversarial attacks are a technique in which images are subtly modified in a way that a human observer cannot detect any difference, but AI models fail to recognize the correct class. Adversarial attacks can be tuned to target specific categories, causing the model to predict the target category inaccurately. br> In Brad Not-Pitt, we used an adversarial attack technique to make ResNet-50 incorrectly classify images of Brad Pitt into a category we chose. br> What if we changed all the available data on the internet so that current big models, such as ChatGPT, would identify a broccoli as a sex symbol, or a digital clock as the anti-capitalist Tyler Durden, while we see them the same way? What if people are generating skewed or fake content just to try to bias new algorithms trained on this data? What if we are biased by data created by companies using algorithms trained on data scraped from unreliable sources, and we accept it as the absolute truth? /p> /div> /div> !-- i classfas fa-code fa-5x white>/i>--> h2> Brad Not-Pitt (2021) /h2> p>images that fool your AI-heart/p> !-- p>City,Country./p>--> /div> div classsection-2> div classimage-block> img srchttps://f005.backblazeb2.com/file/brad-not-pitt/0_4_2_nbp.jpg altbradnotpit 1> /div> div classimage-block> img srchttps://f005.backblazeb2.com/file/brad-not-pitt/10_4_1_nbp.jpg altbradnotpit 2> /div> div classimage-block> img srchttps://f005.backblazeb2.com/file/brad-not-pitt/2_4_1_nbp.jpg altbradnotpit 3> /div> div classimage-block> img srchttps://f005.backblazeb2.com/file/brad-not-pitt/4_4_2_nbp.jpg altbradnotpit 4> /div> div classimage-block> img srchttps://f005.backblazeb2.com/file/brad-not-pitt/7_4_1_nbp.jpg altbradnotpit 5> /div> div classimage-block> img srchttps://f005.backblazeb2.com/file/brad-not-pitt/9_4_0_nbp.jpg altbradnotpit 6> /div> div classtext-block> a hrefhttps://stonavan.com> p classt1-desc-center> Go BaCk /p> /a> /div> /div> /div>/body>/html>
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