Membership-Invariant Subspace Training
收藏DataCite Commons2026-01-07 更新2025-04-16 收录
下载链接:
https://service.tib.eu/ldmservice/dataset/53e78c17-5eba-4afc-a927-b1a3ae5b4da7
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资源简介:
Membership-Invariant Subspace Training (MIST) is a method for training classifiers that acts as a defense designed to specifically defend against black-box membership inference attacks on the most vulnerable instances in the training data.
提供机构:
TIB
创建时间:
2025-01-03



