Jiguang Lyu

Robust Adversarial Training for Industrial Defect Classification with Long-Tailed Data

Deep neural networks are vulnerable to adversarial examples which fool model predictions by adding imperceptible perturbations to natural examples. Adversarial training is effective in defending against adversarial attacks but faces a challenge with long-tailed data, where the over-compression of ta…