ANTI-FRAUD RISK ASSESSMENT METHOD AND APPARATUS, TRAINING METHOD AND APPARATUS, AND READABLE STORAGE MEDIUM

Provided in the present invention are an anti-fraud risk assessment method and apparatus, a training method and apparatus, and a readable storage medium. The training method comprises: acquiring a training sample set, wherein training samples comprise multi-dimensional features and fraud labels thereof, which multi-dimensional features comprise a static feature of a user, a behavior feature of the user and a device risk application feature; and inputting the training sample set into an anti-fraud risk assessment model to be trained, so as to perform iterative training, wherein in each round of iteration, the anti-fraud risk assessment model executes embedding processing on the input multi-dimensional features, so as to obtain an input vector; the input vector is input into a feature learning network, which is constructed on the basis of a self-attention mechanism, such that a coded vector after weighted fusion is obtained; the coded vector is input into a deep network, such that a risk prediction result is ob