IESNN combines probabilistic ranking, adversarial learning, and neural weight updates with searchable encryption, claiming near O(log N) query complexity and low overhead, but without a complete algorithm or implementation.
In: IEEE S & P 2000
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Interpretable Encrypted Searchable Neural Networks
IESNN combines probabilistic ranking, adversarial learning, and neural weight updates with searchable encryption, claiming near O(log N) query complexity and low overhead, but without a complete algorithm or implementation.