Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
ARESgithub.comARES 2.0 is a Python library for adversarial machine learning research, focusing on benchmarking the robustness of image classification and object detection models against adversarial attacks. It provides tools for robust training, supports various attack methods, and includes pre-trained checkpoints for enhanced model defense.
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Sources
ares-ai.vercel.app shapes more of what AI says about ARES than any other source, at 25% of its citations.
arxiv.org · bobrupakroy.medium.com · docs.anyscale.com
