Mohammad Yaghini

26 papers A* 6A 1C 2Misc 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Private Rate-Constrained Optimization with Applications to Fair Learning. CoRR Mohammad Yaghini, Tudor Cebere, Michael Menart, Aurélien Bellet, Nicolas Papernot
2025	A*	`conf`	Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings. ICML Angéline Pouget, Mohammad Yaghini, Stephan Rabanser, Nicolas Papernot
2025	J	`jnl`	Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings. CoRR Angéline Pouget, Mohammad Yaghini, Stephan Rabanser, Nicolas Papernot
2025	—	`conf`	Trustworthy ML Regulation as a Principal-Agent Problem. FAccT Mohammad Yaghini, Patty Liu, Andrew Magnuson, Natalie Dullerud, Nicolas Papernot
2024	J	`jnl`	On the Privacy Risk of In-context Learning. CoRR Haonan Duan, Adam Dziedzic, Mohammad Yaghini, Nicolas Papernot, Franziska Boenisch
2024	J	`jnl`	Regulation Games for Trustworthy Machine Learning. CoRR Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot
2023	J	`jnl`	Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility. CoRR Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot
2023	A	`conf`	Proof-of-Learning is Currently More Broken Than You Think. EuroS&P Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot
2023	A*	`conf`	Tubes Among Us: Analog Attack on Automatic Speaker Identification. USENIX Security Symposium Shimaa Ahmed, Yash Wani, Ali Shahin Shamsabadi, Mohammad Yaghini, Ilia Shumailov, Nicolas Papernot, Kassem Fawaz
2022	J	`jnl`	Disparate Vulnerability to Membership Inference Attacks. Proc. Priv. Enhancing Technol. Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso
2022	J	`jnl`	On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning. CoRR Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot
2022	J	`jnl`	Pipe Overflow: Smashing Voice Authentication for Fun and Profit. CoRR Shimaa Ahmed, Yash Wani, Ali Shahin Shamsabadi, Mohammad Yaghini, Ilia Shumailov, Nicolas Papernot, Kassem Fawaz
2022	A*	`conf`	Washing The Unwashable : On The (Im)possibility of Fairwashing Detection. NeurIPS Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Calanda Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs, Nicolas Papernot
2022	J	`jnl`	p-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations. CoRR Adam Dziedzic, Stephan Rabanser, Mohammad Yaghini, Armin Ale, Murat A. Erdogdu, Nicolas Papernot
2021	C	`conf`	A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness. AIES Mohammad Yaghini, Andreas Krause, Hoda Heidari
2021	A*	`conf`	Dataset Inference: Ownership Resolution in Machine Learning. ICLR Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
2021	J	`jnl`	Dataset Inference: Ownership Resolution in Machine Learning. CoRR Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
2021	A*	`conf`	Proof-of-Learning: Definitions and Practice. SP Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
2021	J	`jnl`	Proof-of-Learning: Definitions and Practice. CoRR Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
2021	J	`jnl`	SoK: Machine Learning Governance. CoRR Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot
2019	J	`jnl`	A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness. CoRR Mohammad Yaghini, Hoda Heidari, Andreas Krause
2019	J	`jnl`	Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning. CoRR Mohammad Yaghini, Bogdan Kulynych, Carmela Troncoso
2018	A*	`conf`	Non-Discriminatory Machine Learning Through Convex Fairness Criteria. AAAI Naman Goel, Mohammad Yaghini, Boi Faltings
2018	C	`conf`	Non-Discriminatory Machine Learning through Convex Fairness Criteria. AIES Naman Goel, Mohammad Yaghini, Boi Faltings
2016	J	`jnl`	Energy-Aware Optimization and Mechanism Design for Cellular Device-to-Device Local Area Networks. CoRR Mehdi Naderi Soorki, Mohammad Yaghini, Mohammad Hossein Manshaei, Walid Saad, Hossein Saidi
2016	Misc	`conf`	Energy-aware optimization and mechanism design for cellular device-to-device local area networks. CISS Mehdi Naderi Soorki, Mohammad Yaghini, Mohammad Hossein Manshaei, Walid Saad, Hossein Saidi