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Found 3 papers, 1 papers with code
Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment
In this work, we propose a novel technique that uses rules derived from neural network computations to infer data preconditions for a DNN model to determine the trustworthiness of its predictions.
What Kinds of Contracts Do ML APIs Need?
The software engineering community could employ existing contract mining approaches to mine these contracts to promote an increased understanding of ML APIs.
Identifying Classes Susceptible to Adversarial Attacks
Based on the distance among original classes, we create mapping among original classes and adversarial classes that helps to reduce the randomness of a model to a significant amount in an adversarial setting.
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