adversarial-robustness
DeepDefense: New Method for Building Robust Neural Networks
Researchers introduce DeepDefense, a layer-wise gradient-feature alignment technique that strengthens neural networks against adversarial attacks. The method addresses vulnerabilities critical to AI detection systems and model security.