Mohammad Yaghini

According to our database, Mohammad Yaghini authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Privacy Risk of In-context Learning.

Haonan Duan, Adam Dziedzic, Mohammad Yaghini, Nicolas Papernot, Franziska Boenisch

CoRR, 2024

Regulation Games for Trustworthy Machine Learning.

Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot

CoRR, 2024

2023

Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility.

Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot

CoRR, 2023

Tubes Among Us: Analog Attack on Automatic Speaker Identification.

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

Proceedings of the 32nd USENIX Security Symposium, 2023

Proof-of-Learning is Currently More Broken Than You Think.

Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot

Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

2022

Disparate Vulnerability to Membership Inference Attacks.

Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso

Proc. Priv. Enhancing Technol., 2022

On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning.

Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot

CoRR, 2022

p-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations.

Adam Dziedzic, Stephan Rabanser, Mohammad Yaghini, Armin Ale, Murat A. Erdogdu, Nicolas Papernot

CoRR, 2022

Pipe Overflow: Smashing Voice Authentication for Fun and Profit.

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

CoRR, 2022

Washing The Unwashable : On The (Im)possibility of Fairwashing Detection.

Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Calanda Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs, Nicolas Papernot

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

SoK: Machine Learning Governance.

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

CoRR, 2021

Proof-of-Learning: Definitions and Practice.

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

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Dataset Inference: Ownership Resolution in Machine Learning.

Pratyush Maini, Mohammad Yaghini, Nicolas Papernot

Proceedings of the 9th International Conference on Learning Representations, 2021

A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness.

Mohammad Yaghini, Andreas Krause, Hoda Heidari

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2019

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

Mohammad Yaghini, Hoda Heidari, Andreas Krause

CoRR, 2019

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

Mohammad Yaghini, Bogdan Kulynych, Carmela Troncoso

CoRR, 2019

2018

Non-Discriminatory Machine Learning Through Convex Fairness Criteria.

Naman Goel, Mohammad Yaghini, Boi Faltings

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Energy-aware optimization and mechanism design for cellular device-to-device local area networks.

Mehdi Naderi Soorki, Mohammad Yaghini, Mohammad Hossein Manshaei, Walid Saad, Hossein Saidi

Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016