Jiayang Liu

Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View

2019

Deep Neural Networks (DNNs) have recently led to significant improvements in many fields. However, DNNs are vulnerable to adversarial examples which are samples with imperceptible perturbations while dramatically misleading the DNNs. Moreover, adversarial examples can …

SADA: Self-Adaptive Domain Adaptation From Black-Box Predictors

2024

Domain adaptation from black-box predictors aims to perform domain adaptation using predictions from a model trained on the source domain, thereby avoiding privacy issues associated with source domain data and enabling the training of a …