| 2025 | ICML | Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings. | Angline Pouget, Mohammad Yaghini, Stephan Rabanser, Nicolas Papernot |
| 2021 | AIES | A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness. | Mohammad Yaghini, Andreas Krause, Hoda Heidari |
| 2021 | ICLR | Dataset Inference: Ownership Resolution in Machine Learning. | Pratyush Maini, Mohammad Yaghini, Nicolas Papernot |
| 2021 | SP | Proof-of-Learning: Definitions and Practice. | Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot |
| 2018 | AAAI | Non-Discriminatory Machine Learning Through Convex Fairness Criteria. | Naman Goel, Mohammad Yaghini, Boi Faltings |
| 2018 | AIES | Non-Discriminatory Machine Learning through Convex Fairness Criteria. | Naman Goel, Mohammad Yaghini, Boi Faltings |
| 2016 | CISS | Energy-aware optimization and mechanism design for cellular device-to-device local area networks. | Mehdi Naderi Soorki, Mohammad Yaghini, Mohammad Hossein Manshaei, Walid Saad, Hossein Saidi |