Dataset inference: Ownership resolution in machine learning P Maini, M Yaghini, N Papernot
arXiv preprint arXiv:2104.10706, 2021
128 2021 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
123 2018 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
107 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
38 2024 SoK: Machine learning governance V Chandrasekaran, H Jia, A Thudi, A Travers, M Yaghini, N Papernot
arXiv preprint arXiv:2109.10870, 2021
25 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
20 2022 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
20 2021 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
18 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
7 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 A Dziedzic, S Rabanser, M Yaghini, A Ale, MA Erdogdu, N Papernot
arXiv preprint arXiv:2207.12545, 2022
4 2022 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
4 2022 Regulation Games for Trustworthy Machine Learning M Yaghini, P Liu, F Boenisch, N Papernot
arXiv preprint arXiv:2402.03540, 2024
3 2024 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 FairPATE: Exposing the Pareto Frontier of Fairness, Privacy, Accuracy, and Coverage M Yaghini, P Liu, F Boenisch, N Papernot
Bogdan KulynychPostdoc at Lausanne University HospitalAdresse e-mail validée de chuv.ch
