Adversarial Attacks on Hidden Tasks in Multi-Task Learning

Yu Zhe, Rei Nagaike, Daiki Nishiyama +2

Deep learning models are susceptible to adversarial attacks, where slight perturbations to input data lead to misclassification. Adversarial attacks become increasingly effective w…