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Pipe Overflow: Smashing Voice Authentication for Fun and Profit


Feb 06, 2022
Shimaa Ahmed, Yash Wani, Ali Shahin Shamsabadi, Mohammad Yaghini, Ilia Shumailov, Nicolas Papernot, Kassem Fawaz


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SoK: Machine Learning Governance


Sep 20, 2021
Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot


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Dataset Inference: Ownership Resolution in Machine Learning


Apr 21, 2021
Pratyush Maini, Mohammad Yaghini, Nicolas Papernot

* Published as a conference paper at ICLR 2021 (Spotlight Presentation) 

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Proof-of-Learning: Definitions and Practice


Mar 09, 2021
Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot

* To appear in the 42nd IEEE Symposium on Security and Privacy 

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A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness


Nov 08, 2019
Mohammad Yaghini, Hoda Heidari, Andreas Krause


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Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning


Jun 02, 2019
Mohammad Yaghini, Bogdan Kulynych, Carmela Troncoso

* Mohammad Yaghini and Bogdan Kulynych contributed equally to this work 

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