| 2025 | ICSE | Fairness Testing Through Extreme Value Theory. | Verya Monjezi, Ashutosh Trivedi, Vladik Kreinovich, Saeid Tizpaz-Niari |
| 2025 | ICSE | FairLay-ML: Intuitive Debugging of Fairness in Data-Driven Social-Critical Software. | Normen Yu, Luciana Carreon, Gang Tan, Saeid Tizpaz-Niari |
| 2024 | CAIN | Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory. | Saeid Tizpaz-Niari, Sriram Sankaranarayanan |
| 2024 | ICSE | Causal Graph Fuzzing for Fair ML Sofware Development. | Verya Monjezi, Ashish Kumar, Gang Tan, Ashutosh Trivedi, Saeid Tizpaz-Niari |
| 2024 | ISSTA | NeuFair: Neural Network Fairness Repair with Dropout. | Vishnu Asutosh Dasu, Ashish Kumar, Saeid Tizpaz-Niari, Gang Tan |
| 2024 | SIGITE | Data Science in a Mathematics Classroom: Lessons on AI Fairness. | Berenice Sotelo, Kirsten Wieseman, Saeid Tizpaz-Niari |
| 2023 | ICSE | Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks. | Verya Monjezi, Ashutosh Trivedi, Gang Tan, Saeid Tizpaz-Niari |
| 2023 | ICSE | Metamorphic Testing and Debugging of Tax Preparation Software. | Saeid Tizpaz-Niari, Verya Monjezi, Morgan Wagner, Shiva Darian, Krystia Reed, Ashutosh Trivedi |
| 2022 | ICSE | Fairness-aware Configuration of Machine Learning Libraries. | Saeid Tizpaz-Niari, Ashish Kumar, Gang Tan, Ashutosh Trivedi |
| 2021 | ISSTA | QFuzz: quantitative fuzzing for side channels. | Yannic Noller, Saeid Tizpaz-Niari |
| 2020 | ISSTA | Detecting and understanding real-world differential performance bugs in machine learning libraries. | Saeid Tizpaz-Niari, Pavol Cern, Ashutosh Trivedi |
| 2020 | NDSS | Data-Driven Debugging for Functional Side Channels. | Saeid Tizpaz-Niari, Pavol Cern, Ashutosh Trivedi |
| 2019 | CAV | Quantitative Mitigation of Timing Side Channels. | Saeid Tizpaz-Niari, Pavol Cern, Ashutosh Trivedi |
| 2019 | RV | Efficient Detection and Quantification of Timing Leaks with Neural Networks. | Saeid Tizpaz-Niari, Pavol Cern, Sriram Sankaranarayanan, Ashutosh Trivedi |
| 2018 | AAAI | Differential Performance Debugging With Discriminant Regression Trees. | Saeid Tizpaz-Niari, Pavol Cern, Bor-Yuh Evan Chang, Ashutosh Trivedi |
| 2017 | TACAS | Discriminating Traces with Time. | Saeid Tizpaz-Niari, Pavol Cern, Bor-Yuh Evan Chang, Sriram Sankaranarayanan, Ashutosh Trivedi |
| 2013 | SIN | Verification of OSPF vulnerabilities by colored Petri net. | Saeid Tizpaz-Niari, Amir Hossein Jahangir |