OptiAttack (OA) is an optimization-based adversarial example generation framework designed for network test generation.

Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

Applying Uchida's Static Watermarking Algorithm to Graph Neural Networks