| Non-discriminatory machine learning through convex fairness criteria N Goel, M Yaghini, B Faltings Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 116-116, 2018 | 119 | 2018 |
| Dataset inference: Ownership resolution in machine learning P Maini, M Yaghini, N Papernot arXiv preprint arXiv:2104.10706, 2021 | 118 | 2021 |
| Proof-of-learning: Definitions and practice H Jia, M Yaghini, CA Choquette-Choo, N Dullerud, A Thudi, ... 2021 IEEE Symposium on Security and Privacy (SP), 1039-1056, 2021 | 102 | 2021 |
| Disparate vulnerability: On the unfairness of privacy attacks against machine learning M Yaghini, B Kulynych, G Cherubin, C Troncoso arXiv e-prints, arXiv: 1906.00389, 2019 | 48 | 2019 |
| On the privacy risk of in-context learning H Duan, A Dziedzic, M Yaghini, N Papernot, F Boenisch arXiv preprint arXiv:2411.10512, 2024 | 29 | 2024 |
| SoK: Machine learning governance V Chandrasekaran, H Jia, A Thudi, A Travers, M Yaghini, N Papernot arXiv preprint arXiv:2109.10870, 2021 | 22 | 2021 |
| 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 | 18 | 2021 |
| Washing the unwashable: On the (im) possibility of fairwashing detection A Shahin Shamsabadi, M Yaghini, N Dullerud, S Wyllie, U Aïvodji, ... Advances in Neural Information Processing Systems 35, 14170-14182, 2022 | 17 | 2022 |
| Proof-of-learning is currently more broken than you think C Fang, H Jia, A Thudi, M Yaghini, CA Choquette-Choo, N Dullerud, ... 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), 797-816, 2023 | 16 | 2023 |
| 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, 1-25, 2019 | 9 | 2019 |
| Learning with impartiality to walk on the pareto frontier of fairness, privacy, and utility M Yaghini, P Liu, F Boenisch, N Papernot arXiv preprint arXiv:2302.09183, 2023 | 5 | 2023 |
| Tubes among us: Analog attack on automatic speaker identification S Ahmed, Y Wani, AS Shamsabadi, M Yaghini, I Shumailov, N Papernot, ... 32nd USENIX Security Symposium (USENIX Security 23), 265-282, 2023 | 4 | 2023 |
| Regulation Games for Trustworthy Machine Learning M Yaghini, P Liu, F Boenisch, N Papernot arXiv preprint arXiv:2402.03540, 2024 | 3 | 2024 |
| 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 | 3 | 2022 |
| 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 |
| Learning to Walk Impartially on the Pareto Frontier of Fairness, Privacy, and Utility M Yaghini, P Liu, F Boenisch, N Papernot CISPA, 2023 | 2 | 2023 |
| -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 | 2 | 2022 |
| FairPATE: Exposing the Pareto Frontier of Fairness, Privacy, Accuracy, and Coverage M Yaghini, P Liu, F Boenisch, N Papernot | | |
Bogdan KulynychPostdoc at Lausanne University HospitalVerified email at chuv.ch
