Framework quantifies per-layer sensitive information exposure in DNNs via generalization error and evaluates TEE-based protection for the most exposed layers against white-box membership inference.
InProceed- ings of the International Conference on Learning Representations (ICLR)
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Towards Characterizing and Limiting Information Exposure in DNN Layers
Framework quantifies per-layer sensitive information exposure in DNNs via generalization error and evaluates TEE-based protection for the most exposed layers against white-box membership inference.