https://ai-blog.noorshomelab.dev/tags/adversarial-ml/Recent content in Adversarial ML on AI VOIDHugoenFri, 20 Mar 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/ai-security-guide-2026/data-poisoning/Fri, 20 Mar 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/ai-security-guide-2026/data-poisoning/<h2 id="introduction-the-silent-saboteur-of-ai">Introduction: The Silent Saboteur of AI</h2> <p>Welcome back, future AI security champions! In our previous chapters, we delved into the immediate threats of prompt injection and jailbreak attacks, where adversaries manipulate an AI model&rsquo;s behavior <em>during runtime</em>. But what if the problem starts much earlier, deep within the very &ldquo;brain&rdquo; of the AI itself?</p> <p>This chapter introduces you to <strong>Data Poisoning</strong>, a sinister attack where malicious actors inject corrupted data into an AI model&rsquo;s training or fine-tuning datasets. Imagine trying to teach a student using a textbook filled with subtle, misleading errors. Over time, these errors would warp their understanding, leading to incorrect responses and potentially dangerous decisions. That&rsquo;s precisely what data poisoning does to an AI.</p>