Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks. - Verya Monjezi; Ashutosh Trivedi 001; Gang Tan; Saeid Tizpaz-Niari (ICSE, 2023)

Metamorphic Testing and Debugging of Tax Preparation Software. - Saeid Tizpaz-Niari; Verya Monjezi; Morgan Wagner; Shiva Darian; Krystia Reed; Ashutosh Trivedi 001 (ICSE (SEIS), 2023)

Causal Graph Fuzzing for Fair ML Sofware Development. - Verya Monjezi; Ashish Kumar; Gang Tan; Ashutosh Trivedi 001; Saeid Tizpaz-Niari (ICSE Companion, 2024)

Predicting Fairness of ML Software Configurations. - Salvador Robles Herrera; Verya Monjezi; Vladik Kreinovich; Ashutosh Trivedi 001; Saeid Tizpaz-Niari (PROMISE, 2024)

Predicting Fairness of ML Software Configuration. - Salvador Robles Herrera; Verya Monjezi; Vladik Kreinovich; Ashutosh Trivedi 001; Saeid Tizpaz-Niari (CoRR, 2024)

Fairness Testing Through Extreme Value Theory. - Verya Monjezi; Ashutosh Trivedi 001; Vladik Kreinovich; Saeid Tizpaz-Niari (ICSE, 2025)