APTOS-2019

The APTOS-2019 dataset is a benchmark containing medical images used to evaluate the effectiveness of algorithms in detecting adversarial attacks in diabetic retinopathy diagnosis.

Papers using APTOS-2019 (1)

Robust Adversarial Attack Detection via Generative Adversarial Network With Residual Multi-Layer Aggregation Based Contrastive Loss Function2026