Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
EasyRobust is an open-source library from Alibaba that provides tools and benchmarks for evaluating and improving the robustness of machine learning models against adversarial attacks and natural distribution shifts. It includes implementations of state-of-the-art adversarial training methods, robustness benchmarks like ImageNet-E and COCO-O, and reproducible examples for image classification, speech recognition, and object detection.
Parse Score
Sources
github.com shapes more of what AI says about EasyRobust than any other source, at 100% of its citations.