1 code implementation • 26 Jan 2024 • Shibbir Ahmed, Hongyang Gao, Hridesh Rajan
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.
no code implementations • 26 Jul 2023 • Samantha Syeda Khairunnesa, Shibbir Ahmed, Sayem Mohammad Imtiaz, Hridesh Rajan, Gary T. Leavens
The software engineering community could employ existing contract mining approaches to mine these contracts to promote an increased understanding of ML APIs.
no code implementations • 30 May 2019 • Rangeet Pan, Md Johirul Islam, Shibbir Ahmed, Hridesh Rajan
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.