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
106 2018 Dataset inference: Ownership resolution in machine learning P Maini, M Yaghini, N Papernot
arXiv preprint arXiv:2104.10706, 2021
86 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
76 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
45 2019 SoK: Machine learning governance V Chandrasekaran, H Jia, A Thudi, A Travers, M Yaghini, N Papernot
arXiv preprint arXiv:2109.10870, 2021
18 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
15 2021 On the privacy risk of in-context learning H Duan, A Dziedzic, M Yaghini, N Papernot, F Boenisch
The 61st Annual Meeting Of The Association For Computational Linguistics, 2023
13 2023 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
10 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
8 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
8 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
3 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
3 2023 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 -DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep RepresentationsA Dziedzic, S Rabanser, M Yaghini, A Ale, MA Erdogdu, N Papernot
arXiv preprint arXiv:2207.12545, 2022
2 2022 Regulation Games for Trustworthy Machine Learning M Yaghini, P Liu, F Boenisch, N Papernot
arXiv preprint arXiv:2402.03540, 2024
2024 Learning to Walk Impartially on the Pareto Frontier of Fairness, Privacy, and Utility M Yaghini, P Liu, F Boenisch, N Papernot
NeurIPS 2023 Workshop on Regulatable ML, 2023
2023 FairPATE: Exposing the Pareto Frontier of Fairness, Privacy, Accuracy, and Coverage M Yaghini, P Liu, F Boenisch, N Papernot
2023