Non-discriminatory machine learning through convex fairness criteria N Goel, M Yaghini, B Faltings Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 75 | 2018 |
Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning M Yaghini, B Kulynych, C Troncoso arXiv preprint arXiv:1906.00389, 2019 | 34 | 2019 |
Dataset inference: Ownership resolution in machine learning P Maini, M Yaghini, N Papernot arXiv preprint arXiv:2104.10706, 2021 | 31 | 2021 |
Proof-of-Learning: Definitions and Practice H Jia, M Yaghini, CA Choquette-Choo, N Dullerud, A Thudi, ... arXiv preprint arXiv:2103.05633, 2021 | 29 | 2021 |
SoK: Machine learning governance V Chandrasekaran, H Jia, A Thudi, A Travers, M Yaghini, N Papernot arXiv preprint arXiv:2109.10870, 2021 | 8 | 2021 |
A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness M Yaghini, H Heidari, A Krause arXiv preprint arXiv:1911.03020, 2019 | 7 | 2019 |
A human-in-the-loop framework to construct context-aware mathematical notions of outcome fairness M Yaghini, A Krause, H Heidari Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 1023 …, 2021 | 6 | 2021 |
Energy-aware optimization and mechanism design for cellular device-to-device local area networks MN Soorki, M Yaghini, MH Manshaei, W Saad, H Saidi 2016 Annual Conference on Information Science and Systems (CISS), 309-314, 2016 | 3 | 2016 |
Pipe Overflow: Smashing Voice Authentication for Fun and Profit S Ahmed, Y Wani, AS Shamsabadi, M Yaghini, I Shumailov, N Papernot, ... arXiv preprint arXiv:2202.02751, 2022 | 1 | 2022 |
-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations A Dziedzic, S Rabanser, M Yaghini, A Ale, MA Erdogdu, N Papernot arXiv preprint arXiv:2207.12545, 2022 | | 2022 |
Washing The Unwashable: On The (Im) possibility of Fairwashing Detection AS Shamsabadi, M Yaghini, N Dullerud, S Wyllie, U Aïvodji, AAA Mkean, ... Advances in Neural Information Processing Systems, 0 | | |