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Saeid Tizpaz-Niari
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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
312022
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
252023
Detecting and understanding real-world differential performance bugs in machine learning libraries
S Tizpaz-Niari, P Černę, A Trivedi
Proceedings of the 29th ACM SIGSOFT international symposium on software …, 2020
252020
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
162018
Quantitative mitigation of timing side channels
S Tizpaz-Niari, P Černę, A Trivedi
Computer Aided Verification: 31st International Conference, CAV 2019, New …, 2019
142019
Qfuzz: Quantitative fuzzing for side channels
Y Noller, S Tizpaz-Niari
Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021
122021
Data-driven debugging for functional side channels
S Tizpaz-Niari, P Cerny, A Trivedi
arXiv preprint arXiv:1808.10502, 2018
122018
Discriminating traces with time
S Tizpaz-Niari, P Černę, BYE Chang, S Sankaranarayanan, A Trivedi
International Conference on Tools and Algorithms for the Construction and …, 2017
112017
Efficient detection and quantification of timing leaks with neural networks
S Tizpaz-Niari, P Černę, S Sankaranarayanan, A Trivedi
Runtime Verification: 19th International Conference, RV 2019, Porto …, 2019
62019
Verification of OSPF vulnerabilities by colored petri net
ST Niari, AH Jahangir
Proceedings of the 6th International Conference on Security of Information …, 2013
62013
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
42023
Quantitative estimation of side-channel leaks with neural networks
S Tizpaz-Niari, P Černę, S Sankaranarayanan, A Trivedi
International Journal on Software Tools for Technology Transfer 23 (4), 641-654, 2021
22021
Predicting Fairness of ML Software Configuration
SR Herrera, V Monjezi, V Kreinovich, A Trivedi, S Tizpaz-Niari
arXiv preprint arXiv:2404.19100, 2024
12024
Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory
S Tizpaz-Niari, S Sankaranarayanan
arXiv preprint arXiv:2404.07170, 2024
12024
How to Gauge Inequality and Fairness: A Complete Description of All Decomposable Versions of Theil Index
S Tizpaz-Niari, O Kosheleva, V Kreinovich
12024
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
12023
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
12022
Predicting Fairness of ML Software Configuration
S Robles Herrera, V Monjezi, V Kreinovich, A Trivedi, S Tizpaz-Niari
arXiv e-prints, arXiv: 2404.19100, 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
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
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Articles 1–20