Source-Free domain adaptation transits the source-trained model towards target domain
without exposing the source data, trying to dispel these concerns about data privacy and
security. However, this paradigm is still at risk of data leakage due to adversarial attacks on
the source model. Hence, the Black-Box setting only allows to use the outputs of source
model, but still suffers from overfitting on the source domain more severely due to source
model's unseen weights. In this paper, we propose a novel approach named RAIN …