Mohammad Yaghini

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Buffer Overflow

Local Area Network

Machine Learning

Selection Criteria

Top Venues

IEEE Symposium on Security and Privacy

Publications

Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot
Regulation Games for Trustworthy Machine Learning. CoRR (2024)
Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot
Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility. CoRR (2023)
Shimaa Ahmed, Yash Wani, Ali Shahin Shamsabadi, Mohammad Yaghini, Ilia Shumailov, Nicolas Papernot, Kassem Fawaz
Tubes Among Us: Analog Attack on Automatic Speaker Identification. USENIX Security Symposium (2023)
Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot
Proof-of-Learning is Currently More Broken Than You Think. EuroS&P (2023)
Adam Dziedzic, Stephan Rabanser, Mohammad Yaghini, Armin Ale, Murat A. Erdogdu, Nicolas Papernot
p-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations. CoRR (2022)
Shimaa Ahmed, Yash Wani, Ali Shahin Shamsabadi, Mohammad Yaghini, Ilia Shumailov, Nicolas Papernot, Kassem Fawaz
Pipe Overflow: Smashing Voice Authentication for Fun and Profit. CoRR (2022)
Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso
Disparate Vulnerability to Membership Inference Attacks. Proc. Priv. Enhancing Technol. 2022 (1) (2022)
Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs, Nicolas Papernot
Washing The Unwashable : On The (Im)possibility of Fairwashing Detection. NeurIPS (2022)
Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot
On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning. CoRR (2022)
Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
Proof-of-Learning: Definitions and Practice. CoRR (2021)
Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot
SoK: Machine Learning Governance. CoRR (2021)
Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
Dataset Inference: Ownership Resolution in Machine Learning. ICLR (2021)
Mohammad Yaghini, Andreas Krause, Hoda Heidari
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness. AIES (2021)
Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
Proof-of-Learning: Definitions and Practice. IEEE Symposium on Security and Privacy (2021)
Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
Dataset Inference: Ownership Resolution in Machine Learning. CoRR (2021)
Mohammad Yaghini, Bogdan Kulynych, Carmela Troncoso
Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning. CoRR (2019)
Mohammad Yaghini, Hoda Heidari, Andreas Krause
A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness. CoRR (2019)
Naman Goel, Mohammad Yaghini, Boi Faltings
Non-Discriminatory Machine Learning through Convex Fairness Criteria. AIES (2018)
Naman Goel, Mohammad Yaghini, Boi Faltings
Non-Discriminatory Machine Learning Through Convex Fairness Criteria. AAAI (2018)
Mehdi Naderi Soorki, Mohammad Yaghini, Mohammad Hossein Manshaei, Walid Saad, Hossein Saidi
Energy-aware optimization and mechanism design for cellular device-to-device local area networks. CISS (2016)
Mehdi Naderi Soorki, Mohammad Yaghini, Mohammad Hossein Manshaei, Walid Saad, Hossein Saidi
Energy-Aware Optimization and Mechanism Design for Cellular Device-to-Device Local Area Networks. CoRR (2016)