Mohammad Yaghini

PhD student

Email

Papers

1. 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
   In Proceedings of the 8th IEEE European Symposium on Security and Privacy, Delft, Netherlands

   Paper BibTeX

   @inproceedings{congyu2023proofoflearningconference,
     author = {Fang, Congyu and Jia, Hengrui and Thudi, Anvith and Yaghini, Mohammad and Choquette-Choo, Christopher A. and Dullerud, Natalie and Chandrasekaran, Varun and Papernot, Nicolas},
     booktitle = {Proceedings of the 8th IEEE European Symposium on Security and Privacy, Delft, Netherlands},
     title = {Proof-of-Learning is Currently More Broken Than You Think},
     year = {2023}
   }
   

2. On the Privacy Risk of In-context Learning
   Haonan Duan, Adam Dziedzic, Mohammad Yaghini, Nicolas Papernot, Franziska Boenisch
   

   Paper BibTeX

   @article{haonan2023onworkshop,
     author = {Duan, Haonan and Dziedzic, Adam and Yaghini, Mohammad and Papernot, Nicolas and Boenisch, Franziska},
     title = {On the Privacy Risk of In-context Learning},
     year = {2023}
   }
   

3. Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility
   Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot
   

   Paper BibTeX

   @article{mohammad2023learningworkshop,
     author = {Yaghini, Mohammad and Liu, Patty and Boenisch, Franziska and Papernot, Nicolas},
     title = {Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility},
     year = {2023}
   }
   

4. Regulation Games for Trustworthy Machine Learning
   Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas Papernot
   

   Paper BibTeX

   @article{mohammad2023regulationworkshop,
     author = {Yaghini, Mohammad and Liu, Patty and Boenisch, Franziska and Papernot, Nicolas},
     title = {Regulation Games for Trustworthy Machine Learning},
     year = {2023}
   }
   

5. Tubes Among Us: Analog Attack on Automatic Speaker Identification
   Shimaa Ahmed, Yash Wani, Ali Shahin Shamsabadi, Mohammad Yaghini, Ilia Shumailov, Nicolas Papernot, Kassem Fawaz
   In Proceedings of the 32nd USENIX Security Symposium

   Paper BibTeX

   @inproceedings{shimaa2023tubesconference,
     author = {Ahmed, Shimaa and Wani, Yash and Shamsabadi, Ali Shahin and Yaghini, Mohammad and Shumailov, Ilia and Papernot, Nicolas and Fawaz, Kassem},
     booktitle = {Proceedings of the 32nd USENIX Security Symposium},
     title = {Tubes Among Us: Analog Attack on Automatic Speaker Identification},
     year = {2023}
   }
   

6. p-DkNN: Out-of-Distribution Detection through Statistical Testing of Deep Representation
   Adam Dziedzic, Stephan Rabanser, Mohammad Yaghini, Armin Ale, Murat A Erdogdu, Nicolas Papernot
   

   Paper BibTeX

   @article{adam2022pdknnreport,
     author = {Dziedzic, Adam and Rabanser, Stephan and Yaghini, Mohammad and Ale, Armin and Erdogdu, Murat A and Papernot, Nicolas},
     title = {p-DkNN: Out-of-Distribution Detection through Statistical Testing of Deep Representation},
     year = {2022}
   }
   

7. Washing The Unwashable: On The (Im)possibility of Fairwashing Detection
   Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Wyllie, Ulrich Aïvodji, Aisha Alaagib Alryeh Mkean, Sébastien Gambs, Nicolas Papernot
   In Proceedings of the 36th Conference on Neural Information Processing Systems

   Paper BibTeX

   @inproceedings{ali2022washingconference,
     author = {Shamsabadi, Ali Shahin and Yaghini, Mohammad and Dullerud, Natalie and Wyllie, Sierra and Aïvodji, Ulrich and Mkean, Aisha Alaagib Alryeh and Gambs, Sébastien and Papernot, Nicolas},
     booktitle = {Proceedings of the 36th Conference on Neural Information Processing Systems},
     title = {Washing The Unwashable: On The (Im)possibility of Fairwashing Detection},
     year = {2022}
   }
   

8. Proof-of-Learning: Definitions and Practice
   Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
   In Proceedings of the 42nd IEEE Symposium on Security and Privacy, San Francisco, CA

   Paper BibTeX

   @inproceedings{hengrui2021proofoflearningconference,
     author = {Jia, Hengrui and Yaghini, Mohammad and Choquette-Choo, Christopher A. and Dullerud, Natalie and Thudi, Anvith and Chandrasekaran, Varun and Papernot, Nicolas},
     booktitle = {Proceedings of the 42nd IEEE Symposium on Security and Privacy, San Francisco, CA},
     title = {Proof-of-Learning: Definitions and Practice},
     year = {2021}
   }
   

9. Dataset Inference: Ownership Resolution in Machine Learning
   Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
   In Proceedings of the 9th International Conference on Learning Representations

   Paper BibTeX

   @inproceedings{pratyush2021datasetspotlight,
     author = {Maini, Pratyush and Yaghini, Mohammad and Papernot, Nicolas},
     booktitle = {Proceedings of the 9th International Conference on Learning Representations},
     title = {Dataset Inference: Ownership Resolution in Machine Learning},
     year = {2021}
   }
   

10. SoK: Machine Learning Governance
    Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot
    

    Paper BibTeX

    @article{varun2021sokpreprint,
      author = {Chandrasekaran, Varun and Jia, Hengrui and Thudi, Anvith and Travers, Adelin and Yaghini, Mohammad and Papernot, Nicolas},
      title = {SoK: Machine Learning Governance},
      year = {2021}
    }
    

11. Dataset Inference: Ownership Resolution in Machine Learning
    Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
    

    Paper BibTeX

    @article{pratyush2020datasetworkshop,
      author = {Maini, Pratyush and Yaghini, Mohammad and Papernot, Nicolas},
      title = {Dataset Inference: Ownership Resolution in Machine Learning},
      year = {2020}
    }