Statistical Metamorphic Testing of Neural Network Based Intrusion Detection Systems. - Faqeer ur Rehman; Clemente Izurieta (CSR, 2021)

A Hybridized Approach for Testing Neural Network Based Intrusion Detection Systems. - Faqeer ur Rehman; Clemente Izurieta (SmartNets, 2021)

An Approach For Verifying And Validating Clustering Based Anomaly Detection Systems Using Metamorphic Testing. - Faqeer ur Rehman; Clemente Izurieta (AITest, 2022)

MT4UML: Metamorphic Testing for Unsupervised Machine Learning. - Faqeer ur Rehman; Clemente Izurieta (SDS, 2022)

Metamorphic Testing For Machine Learning: Applicability, Challenges, and Research Opportunities. - Faqeer ur Rehman; Madhusudan Srinivasan (AITest, 2023)

Testing convolutional neural network based deep learning systems: a statistical metamorphic approach. - Faqeer ur Rehman; Clemente Izurieta (PeerJ Comput. Sci., 2025)

Metamorphic Testing for Smart Contract Validation:A Case Study of Ethereum-Based Crowdfunding Contracts. - Irving Jared Villanueva; Madhusudan Srinivasan; Faqeer ur Rehman (CoRR, 2025)