D. Seok

Real-Time Adversarial Purification via DINOv2-Guided Contrastive Embedding Alignment

Deep neural networks are vulnerable to misclassification even with small adversarial noise. Although purification methods using diffusion models have improved defense performance, they suffer from inference latency due to multiple sampling steps, making real-time applications difficult. In this paper, targeting a pract...