Fairness-aware configuration of machine learning libraries S Tizpaz-Niari, A Kumar, G Tan, A Trivedi Proceedings of the 44th International Conference on Software Engineering …, 2022 | 28 | 2022 |
Detecting and understanding real-world differential performance bugs in machine learning libraries S Tizpaz-Niari, P Černý, A Trivedi Proceedings of the 29th ACM SIGSOFT international symposium on software …, 2020 | 25 | 2020 |
Information-theoretic testing and debugging of fairness defects in deep neural networks V Monjezi, A Trivedi, G Tan, S Tizpaz-Niari 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 18 | 2023 |
Differential performance debugging with discriminant regression trees S Tizpaz-Niari, P Cerny, BYE Chang, A Trivedi Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 16 | 2018 |
Quantitative mitigation of timing side channels S Tizpaz-Niari, P Černý, A Trivedi Computer Aided Verification: 31st International Conference, CAV 2019, New …, 2019 | 14 | 2019 |
Qfuzz: Quantitative fuzzing for side channels Y Noller, S Tizpaz-Niari Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021 | 12 | 2021 |
Data-driven debugging for functional side channels S Tizpaz-Niari, P Cerny, A Trivedi arXiv preprint arXiv:1808.10502, 2018 | 12 | 2018 |
Discriminating traces with time S Tizpaz-Niari, P Černý, BYE Chang, S Sankaranarayanan, A Trivedi International Conference on Tools and Algorithms for the Construction and …, 2017 | 11 | 2017 |
Efficient detection and quantification of timing leaks with neural networks S Tizpaz-Niari, P Černý, S Sankaranarayanan, A Trivedi Runtime Verification: 19th International Conference, RV 2019, Porto …, 2019 | 6 | 2019 |
Verification of OSPF vulnerabilities by colored petri net ST Niari, AH Jahangir Proceedings of the 6th International Conference on Security of Information …, 2013 | 6 | 2013 |
Metamorphic testing and debugging of tax preparation software S Tizpaz-Niari, V Monjezi, M Wagner, S Darian, K Reed, A Trivedi 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 4 | 2023 |
Quantitative estimation of side-channel leaks with neural networks S Tizpaz-Niari, P Černý, S Sankaranarayanan, A Trivedi International Journal on Software Tools for Technology Transfer 23 (4), 641-654, 2021 | 2 | 2021 |
How to Gauge Inequality and Fairness: A Complete Description of All Decomposable Versions of Theil Index S Tizpaz-Niari, O Kosheleva, V Kreinovich | 1 | 2024 |
Detecting Unseen Anomalies in Network Systems by Leveraging Neural Networks MJ Hashemi, E Keller, S Tizpaz-Niari IEEE Transactions on Network and Service Management, 2022 | 1 | 2022 |
Predicting Fairness of ML Software Configuration SR Herrera, V Monjezi, V Kreinovich, A Trivedi, S Tizpaz-Niari arXiv preprint arXiv:2404.19100, 2024 | | 2024 |
Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory S Tizpaz-Niari, S Sankaranarayanan arXiv preprint arXiv:2404.07170, 2024 | | 2024 |
Summary of the 1st Interpretability and Robustness in Neural Software Engineering (InteNSE 2023) R Jabbarvand, S Tizpaz-Niari, ET Barr, S Chandra ACM SIGSOFT Software Engineering Notes 49 (1), 30-33, 2023 | | 2023 |
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software D Srinivas, R Das, S Tizpaz-Niari, A Trivedi, ML Pacheco arXiv preprint arXiv:2311.11979, 2023 | | 2023 |
Fast–Asymptotically Optimal–Methods for Determining the Optimal Number of Features S Tizpaz-Niari, L Longpré, O Kosheleva, V Kreinovich International Symposium on Integrated Uncertainty in Knowledge Modelling and …, 2023 | | 2023 |
Over-Measurement Paradox: Suspension of Thermonuclear Research Center and Need to Update Standards H Reyes, S Tizpaz-Niari, V Kreinovich Uncertainty, Constraints, and Decision Making, 157-164, 2023 | | 2023 |