ares
ARES 2.0 is a Python library designed for evaluating adversarial robustness in image classification and object detection models. Utilizing PyTorch, it supports diverse attacks, offers robust training strategies, and includes trained checkpoints. The library facilitates distributed training and testing, making it suitable for adversarial machine learning research. Comprehensive setup instructions and detailed documentation support ease of use and implementation.
