Mitigating Membership Inference in Intermediate Representations with Differentially Private Training
arXiv:2602.22611v2 Announce Type: replace
Abstract: In Embedding-as-an-Interface (EaaI) settings, pre-trained models are queried for Intermediate Representations (IRs). The distributional properties of IRs can leak training-set membership signals, ena…