Researchers at National Tech University have developed a novel defense mechanism against adversarial attacks on computer vision systems. Their approach, which combines adaptive noise reduction and multi-model verification, has demonstrated 90% effectiveness against state-of-the-art adversarial examples in controlled tests. This represents a significant improvement over previous defenses. The team has open-sourced their implementation and published comprehensive documentation to encourage adoption. Several autonomous vehicle manufacturers have already expressed interest in incorporating the technique into their perception systems.