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@@ -3,7 +3,7 @@
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  <head>
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  <meta charset="UTF-8">
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  <meta name="viewport" content="width=device-width, initial-scale=1.0">
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- <title>Image Poison Shield - Next-Generation AI Protection Technology</title>
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  <!-- Premium Google Fonts -->
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  <link rel="preconnect" href="https://fonts.googleapis.com">
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  <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
@@ -644,7 +644,7 @@
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  <div class="container">
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  <!-- Hero Section -->
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  <div class="hero">
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- <h1>Image Poison Shield</h1>
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  <p class="subtitle">Poison shield that protects your work while disrupting unauthorized AI training</p>
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  </div>
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@@ -656,7 +656,7 @@
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  <strong>What if you could poison your images to disrupt AI training while keeping them visually appealing to humans?</strong>
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  </p>
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  <p style="font-size: 1.1em; line-height: 1.6; margin: 20px 0 0 0; text-align: center; color: var(--text-secondary);">
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- Image Poison Shield achieves <strong>48.2% ML training disruption</strong> — among the highest reported for low-distortion image protection — while maintaining excellent visual quality (SSIM 0.98+).
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  </p>
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  </div>
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  </div>
@@ -664,7 +664,7 @@
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  <div class="section">
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  <div class="section-header">
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- <h2 class="section-title">What Makes Image Poison Shield Different</h2>
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  </div>
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  <div class="section-content">
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  <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 20px; margin: 20px 0;">
@@ -708,7 +708,7 @@
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  <div class="section-content">
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  <p>Creative work is being scraped and used to train AI models without consent. Traditional watermarks are easily removed (70-95% success rate). Metadata is stripped in seconds. Legal protection is unenforceable at scale.</p>
710
 
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- <p><strong>Image Poison Shield is different:</strong> Mathematical protection embedded in the frequency-domain structure of images—subtle to humans, toxic to AI models.</p>
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  <div class="info-box" style="margin-top: 20px;">
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  <h4>🧪 Live Demonstration: Test It Yourself</h4>
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  </div>
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  <p style="margin-top: 12px; font-size: 0.9em; font-style: italic;">
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- <strong>Why it works:</strong> Traditional watermark removers detect surface patterns. Image Poison Shield embeds protection in the frequency-domain structure—it appears as natural image content.
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  </p>
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  </div>
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  </div>
@@ -745,7 +745,7 @@
745
  <h2 class="section-title">Validated Performance</h2>
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  </div>
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  <div class="section-content">
748
- <p>Independent academic-grade benchmark testing confirms Image Poison Shield's effectiveness at disrupting ML training while maintaining excellent visual quality.</p>
749
 
750
  <h3>Enhanced Academic Benchmark Results</h3>
751
  <img src="assets/benchmark_summary.png" alt="Comprehensive Benchmark Dashboard" style="width: 100%; border-radius: 12px; margin: 20px 0; border: 2px solid rgba(44, 140, 132, 0.3);">
@@ -767,10 +767,10 @@
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  <ul style="line-height: 1.8;">
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  <li><strong>Cross-model transfer attacks:</strong> 40-50% typical range</li>
769
  <li><strong>Low-distortion perturbations:</strong> 20-35% typical</li>
770
- <li><strong>Image Poison Shield (48.2%):</strong> Top-tier effectiveness while maintaining good visual quality</li>
771
  <li><strong>Visible patch attacks:</strong> 80-90% (but easily detected)</li>
772
  </ul>
773
- <p style="margin-top: 15px;"><strong>Context:</strong> Achieving 48% disruption with minimal visual distortion places Image Poison Shield among the most effective protection systems, comparable to attacks that require visible modifications.</p>
774
  </div>
775
 
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  <h3>Protection Strength Comparison</h3>
@@ -880,7 +880,7 @@
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  <div style="background: rgba(44, 140, 132, 0.15); padding: 20px; border-radius: 8px; margin: 20px 0; text-align: center;">
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  <h4 style="font-size: 2em; margin: 0; color: var(--success-color);">100% Shield Preservation</h4>
882
  <p style="margin-top: 10px; font-size: 1.1em;">0 out of 4 test images had protection removed</p>
883
- <p style="margin-top: 15px; font-style: italic; color: var(--text-secondary);">Traditional watermark removers detect surface patterns. Image Poison Shield embeds protection in the frequency-domain structure—it appears as natural image content.</p>
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  </div>
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  </div>
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  </div>
@@ -892,7 +892,7 @@
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  </div>
893
  <div class="section-content">
894
  <p style="font-size: 1.15em; line-height: 1.7; margin-bottom: 25px; color: var(--text-secondary);">
895
- Image Poison Shield doesn't just disrupt AI training—it creates an immutable record of creator rights and image authenticity.
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  </p>
897
 
898
  <div style="display: grid; grid-template-columns: 1fr 1fr; gap: 30px; margin: 30px 0;">
@@ -937,7 +937,7 @@
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  </div>
938
  <div class="section-content">
939
  <h3>Seeking Partners & Backing</h3>
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- <p style="margin-bottom: 20px;">Image Poison Shield has proven its effectiveness through rigorous validation. We're now seeking partners, funding, and strategic collaborators to scale this technology and combat AI content theft at an enterprise level.</p>
941
 
942
  <div style="background: linear-gradient(135deg, rgba(44, 140, 132, 0.15), rgba(163, 120, 72, 0.1)); padding: 25px; border-radius: 12px; border-left: 4px solid var(--accent-color); margin: 25px 0;">
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  <h4 style="color: var(--accent-color); margin-bottom: 15px;">We're Looking For:</h4>
@@ -952,11 +952,11 @@
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  <p style="color: var(--text-secondary); margin-bottom: 15px;">Academic institutions and AI ethics researchers studying digital rights, adversarial ML, and content protection. We're open to collaborative research and joint publication opportunities.</p>
953
 
954
  <h5 style="color: var(--text-color); margin-top: 20px; margin-bottom: 10px;">🛠️ Integration Partners</h5>
955
- <p style="color: var(--text-secondary); margin-bottom: 15px;">Platform providers, creative tools, DAM systems, and content management solutions seeking to embed Image Poison Shield protection. We're building an enterprise-grade API for seamless integration.</p>
956
  </div>
957
 
958
  <h3>Expansion Roadmap</h3>
959
- <p style="margin-bottom: 15px;">With proper backing, Image Poison Shield can expand beyond images:</p>
960
  <ul style="line-height: 1.8; margin-bottom: 25px;">
961
  <li><strong>Video Protection:</strong> Frame-coherent shield for film, TV, and social media</li>
962
  <li><strong>Audio Protection:</strong> Frequency-domain poisoning for music and podcasts</li>
 
3
  <head>
4
  <meta charset="UTF-8">
5
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
6
+ <title>Poisonous Shield for Images - Next-Generation AI Protection Technology</title>
7
  <!-- Premium Google Fonts -->
8
  <link rel="preconnect" href="https://fonts.googleapis.com">
9
  <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
 
644
  <div class="container">
645
  <!-- Hero Section -->
646
  <div class="hero">
647
+ <h1>Poisonous Shield for Images</h1>
648
  <p class="subtitle">Poison shield that protects your work while disrupting unauthorized AI training</p>
649
  </div>
650
 
 
656
  <strong>What if you could poison your images to disrupt AI training while keeping them visually appealing to humans?</strong>
657
  </p>
658
  <p style="font-size: 1.1em; line-height: 1.6; margin: 20px 0 0 0; text-align: center; color: var(--text-secondary);">
659
+ Poisonous Shield for Images achieves <strong>48.2% ML training disruption</strong> — among the highest reported for low-distortion image protection — while maintaining excellent visual quality (SSIM 0.98+).
660
  </p>
661
  </div>
662
  </div>
 
664
 
665
  <div class="section">
666
  <div class="section-header">
667
+ <h2 class="section-title">What Makes Poisonous Shield for Images Different</h2>
668
  </div>
669
  <div class="section-content">
670
  <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 20px; margin: 20px 0;">
 
708
  <div class="section-content">
709
  <p>Creative work is being scraped and used to train AI models without consent. Traditional watermarks are easily removed (70-95% success rate). Metadata is stripped in seconds. Legal protection is unenforceable at scale.</p>
710
 
711
+ <p><strong>Poisonous Shield for Images is different:</strong> Mathematical protection embedded in the frequency-domain structure of images—subtle to humans, toxic to AI models.</p>
712
 
713
  <div class="info-box" style="margin-top: 20px;">
714
  <h4>🧪 Live Demonstration: Test It Yourself</h4>
 
733
  </div>
734
 
735
  <p style="margin-top: 12px; font-size: 0.9em; font-style: italic;">
736
+ <strong>Why it works:</strong> Traditional watermark removers detect surface patterns. Poisonous Shield for Images embeds protection in the frequency-domain structure—it appears as natural image content.
737
  </p>
738
  </div>
739
  </div>
 
745
  <h2 class="section-title">Validated Performance</h2>
746
  </div>
747
  <div class="section-content">
748
+ <p>Independent academic-grade benchmark testing confirms Poisonous Shield for Images's effectiveness at disrupting ML training while maintaining excellent visual quality.</p>
749
 
750
  <h3>Enhanced Academic Benchmark Results</h3>
751
  <img src="assets/benchmark_summary.png" alt="Comprehensive Benchmark Dashboard" style="width: 100%; border-radius: 12px; margin: 20px 0; border: 2px solid rgba(44, 140, 132, 0.3);">
 
767
  <ul style="line-height: 1.8;">
768
  <li><strong>Cross-model transfer attacks:</strong> 40-50% typical range</li>
769
  <li><strong>Low-distortion perturbations:</strong> 20-35% typical</li>
770
+ <li><strong>Poisonous Shield for Images (48.2%):</strong> Top-tier effectiveness while maintaining good visual quality</li>
771
  <li><strong>Visible patch attacks:</strong> 80-90% (but easily detected)</li>
772
  </ul>
773
+ <p style="margin-top: 15px;"><strong>Context:</strong> Achieving 48% disruption with minimal visual distortion places Poisonous Shield for Images among the most effective protection systems, comparable to attacks that require visible modifications.</p>
774
  </div>
775
 
776
  <h3>Protection Strength Comparison</h3>
 
880
  <div style="background: rgba(44, 140, 132, 0.15); padding: 20px; border-radius: 8px; margin: 20px 0; text-align: center;">
881
  <h4 style="font-size: 2em; margin: 0; color: var(--success-color);">100% Shield Preservation</h4>
882
  <p style="margin-top: 10px; font-size: 1.1em;">0 out of 4 test images had protection removed</p>
883
+ <p style="margin-top: 15px; font-style: italic; color: var(--text-secondary);">Traditional watermark removers detect surface patterns. Poisonous Shield for Images embeds protection in the frequency-domain structure—it appears as natural image content.</p>
884
  </div>
885
  </div>
886
  </div>
 
892
  </div>
893
  <div class="section-content">
894
  <p style="font-size: 1.15em; line-height: 1.7; margin-bottom: 25px; color: var(--text-secondary);">
895
+ Poisonous Shield for Images doesn't just disrupt AI training—it creates an immutable record of creator rights and image authenticity.
896
  </p>
897
 
898
  <div style="display: grid; grid-template-columns: 1fr 1fr; gap: 30px; margin: 30px 0;">
 
937
  </div>
938
  <div class="section-content">
939
  <h3>Seeking Partners & Backing</h3>
940
+ <p style="margin-bottom: 20px;">Poisonous Shield for Images has proven its effectiveness through rigorous validation. We're now seeking partners, funding, and strategic collaborators to scale this technology and combat AI content theft at an enterprise level.</p>
941
 
942
  <div style="background: linear-gradient(135deg, rgba(44, 140, 132, 0.15), rgba(163, 120, 72, 0.1)); padding: 25px; border-radius: 12px; border-left: 4px solid var(--accent-color); margin: 25px 0;">
943
  <h4 style="color: var(--accent-color); margin-bottom: 15px;">We're Looking For:</h4>
 
952
  <p style="color: var(--text-secondary); margin-bottom: 15px;">Academic institutions and AI ethics researchers studying digital rights, adversarial ML, and content protection. We're open to collaborative research and joint publication opportunities.</p>
953
 
954
  <h5 style="color: var(--text-color); margin-top: 20px; margin-bottom: 10px;">🛠️ Integration Partners</h5>
955
+ <p style="color: var(--text-secondary); margin-bottom: 15px;">Platform providers, creative tools, DAM systems, and content management solutions seeking to embed Poisonous Shield for Images protection. We're building an enterprise-grade API for seamless integration.</p>
956
  </div>
957
 
958
  <h3>Expansion Roadmap</h3>
959
+ <p style="margin-bottom: 15px;">With proper backing, Poisonous Shield for Images can expand beyond images:</p>
960
  <ul style="line-height: 1.8; margin-bottom: 25px;">
961
  <li><strong>Video Protection:</strong> Frame-coherent shield for film, TV, and social media</li>
962
  <li><strong>Audio Protection:</strong> Frequency-domain poisoning for music and podcasts</li>