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                         <li><strong>Cost of Training:</strong> If attackers choose to train on poisoned images, the <strong>2-3.4x training degradation</strong> means they must spend significantly more on compute resources (time and money) to achieve their desired results. This directly impacts their bottom line.</li>
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                     <p style="margin-top: 12px;"><strong>Primary Value:</strong> The core strength of Poisonous Shield for Images lies in creating a powerful economic disincentive against unauthorized data scraping, forcing model creators to either pay for clean data or pay more for training on poisoned data. It is not designed to be an unbreakable shield against a determined adversary with unlimited resources and paired training data.</p>
+                    <p style="margin-top: 15px; font-style: italic; color: var(--text-secondary);"><strong>Future Direction:</strong> Active research is underway to counter this autoencoder vulnerability. We are confident that this is a solvable problem and are committed to developing next-generation defenses that enhance removal resistance without compromising visual quality.</p>
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