...

Mohammad Yaghini

PhD student

Email Website Twitter LinkedIn Google Scholar

Research Interests

Papers

  1. 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

    @inproceedings{hengrui2021proofoflearning,
      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}
    }
    
  2. Dataset Inference: Ownership Resolution in Machine Learning
    Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
    In Proceedings of the 9th International Conference on Learning Representations

    Paper

    @inproceedings{pratyush2021dataset,
      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}
    }
    
  3. SoK: Machine Learning Governance
    Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot

    Paper

    @article{varun2021sok,
      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}
    }
    
  4. Dataset Inference: Ownership Resolution in Machine Learning
    Pratyush Maini, Mohammad Yaghini, Nicolas Papernot

    Paper

    @article{pratyush2020dataset,
      author = {Maini, Pratyush and Yaghini, Mohammad and Papernot, Nicolas},
      title = {Dataset Inference: Ownership Resolution in Machine Learning},
      year = {2020}
    }