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Update app/templates/general_pages/index.html
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app/templates/general_pages/index.html
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<!
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<html lang="en">
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<head>
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<meta charset="utf-8"/>
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<link rel="icon" href="/favicon.ico"/>
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<meta name="viewport" content="width=device-width,initial-scale=1"/>
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<meta name="theme-color" content="#000000"/>
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<!-- <meta name="description" content="Web site created using create-react-app"/> -->
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<link rel="apple-touch-icon" href="/logo192.png"/>
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<!-- <link rel="manifest" href="/manifest.json"/> -->
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<!-- <title>
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<!-- <script defer="defer" src="/static/js/main.5f0c332d.js"></script> -->
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<link href="/static/css/main.47bafb87.css" rel="stylesheet">
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<center>
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<a target='_blank' href="https://mag.tmryk.com"><img src="/static/images/tmryk-logo-small.png" alt="Logo" class="logo" width="300"></a>
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</center>
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<!-- <meta http-equiv="refresh" content="10;https://mag.tmryk.com" /> -->
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</head>
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<body>
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<!-- <noscript>You need to enable JavaScript to run this app.</noscript> -->
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<div id="root"></div>
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</body>
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<a target='_blank' href="https://mag.tmryk.com" style="link:blue;hover:blue;">Test your model performance against adversarial attacks<br>Click Here</a></center></p>
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<p></p>
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<p></p>
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<p><center>
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AI applications expose the business to new security attack vectors.Tumeryk secures in-house and third party ML, LLM and Gen AI models. This service helps Data Scientists to validate and protect ML models against Adversarial AI attacks like Evasion, Extraction, Inference and Data Poisoning attacks that may be launched against these models resulting in loss of data, incorrect prediction/classification and/or model theft.
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</center></p>
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</html>
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="utf-8" />
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<link rel="icon" href="/favicon.ico" />
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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<meta name="theme-color" content="#000000" />
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<!-- <meta name="description" content="Web site created using create-react-app"/> -->
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<link rel="apple-touch-icon" href="/logo192.png" />
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<!-- <link rel="manifest" href="/manifest.json"/> -->
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<!-- <title>Tumeryk AttackGuard</title> -->
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<!-- <script defer="defer" src="/static/js/main.5f0c332d.js"></script> -->
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<link href="/static/css/main.47bafb87.css" rel="stylesheet">
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</head>
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<body>
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<!-- <noscript>You need to enable JavaScript to run this app.</noscript> -->
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<div id="root"></div>
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<center>
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<a target='_blank' href="https://mag.tmryk.com"><img src="/static/images/tmryk-logo-small.png" alt="Logo"
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class="logo" width="300"></a>
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</center>
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<p>
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<center>
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<a target='_blank' href="https://mag.tmryk.com" style="link:blue;hover:blue;">Test your model performance
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against adversarial attacks<br>Click Here</a>
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</center>
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</p>
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<p> </p>
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<p> </p>
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<p>
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<center>
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AI applications expose the business to new security attack vectors. Tumeryk secures in-house and third-party ML,
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LLM, and Gen AI models. This service helps Data Scientists to validate and protect ML models against Adversarial
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AI attacks like Evasion, Extraction, Inference, and Data Poisoning attacks that may be launched against these
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models resulting in loss of data, incorrect prediction/classification, and/or model theft.
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</center>
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</p>
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</body>
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</html>
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