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Found 3 papers, 0 papers with code
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values
SHAP package is a leading implementation of Shapley values to explain neural networks implemented in TensorFlow or PyTorch but lacks cross-platform support, one-shot deployment and is highly inefficient.
Fast and Fuzzy Private Set Intersection
Private Set Intersection (PSI) is usually implemented as a sequence of encryption rounds between pairs of users, whereas the present work implements PSI in a simpler fashion: each set only needs to be encrypted once, after which each pair of users need only one ordinary set comparison.
A Secure and Comparable Text Encryption Algorithm
This paper discloses a simple algorithm for encrypting text messages, based on the NP-completeness of the subset sum problem, such that the similarity between encryptions is roughly proportional to the semantic similarity between their generating messages.
