Key Takeaways: Adversarial testing intentionally feeds misleading or tricky inputs to AI systems to expose weaknesses. It reveals how AI might fail under subtle, unexpected conditions. It builds AI resilience by simulating real-world edge cases and malicious tricks. It also uncovers security gaps, hidden biases, and improves user trust. White-box attacks use insider access to …
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