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Anvith Thudi

PhD student

Email

Papers

  1. Selective Classification Via Neural Network Training Dynamics
    Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Israfil Bahceci, Akram Bin Sediq, Hamza Sokun, Nicolas Papernot

    Paper

    @article{stephan2025selectivejournal,
      author = {Rabanser, Stephan and Thudi, Anvith and Hamidieh, Kimia and Dziedzic, Adam and Bahceci, Israfil and Sediq, Akram Bin and Sokun, Hamza and Papernot, Nicolas},
      title = {Selective Classification Via Neural Network Training Dynamics},
      year = {2025}
    }
    
  2. Unlearnable Algorithms for In-context Learning
    Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot

    Paper

    @article{andrei2024unlearnablepreprint,
      author = {Muresanu, Andrei Ioan and Thudi, Anvith and Zhang, Michael R. and Papernot, Nicolas},
      title = {Unlearnable Algorithms for In-context Learning},
      year = {2024}
    }
    
  3. From Differential Privacy to Bounds on Membership Inference: Less can be More
    Anvith Thudi, Ilia Shumailov, Franziska Boenisch, Nicolas Papernot

    Paper

    @article{anvith2024fromjournal,
      author = {Thudi, Anvith and Shumailov, Ilia and Boenisch, Franziska and Papernot, Nicolas},
      title = {From Differential Privacy to Bounds on Membership Inference: Less can be More},
      year = {2024}
    }
    
  4. Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
    Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot
    In Proceedings of the 33rd USENIX Security Symposium

    Paper

    @inproceedings{anvith2024gradientsconference,
      author = {Thudi, Anvith and Jia, Hengrui and Meehan, Casey and Shumailov, Ilia and Papernot, Nicolas},
      booktitle = {Proceedings of the 33rd USENIX Security Symposium},
      title = {Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD},
      year = {2024}
    }
    
  5. 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

    @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}
    }
    
  6. Training Private Models That Know What They Don’t Know
    Stephan Rabanser, Anvith Thudi, Abhradeep Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot
    In Proceedings of the 37th Conference on Neural Information Processing Systems

    Paper

    @inproceedings{stephan2023trainingconference,
      author = {Rabanser, Stephan and Thudi, Anvith and Thakurta, Abhradeep and Dvijotham, Krishnamurthy and Papernot, Nicolas},
      booktitle = {Proceedings of the 37th Conference on Neural Information Processing Systems},
      title = {Training Private Models That Know What They Don’t Know},
      year = {2023}
    }
    
  7. On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
    Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot
    In Proceedings of the 31st USENIX Security Symposium

    Paper

    @inproceedings{anvith2022onconference,
      author = {Thudi, Anvith and Jia, Hengrui and Shumailov, Ilia and Papernot, Nicolas},
      booktitle = {Proceedings of the 31st USENIX Security Symposium},
      title = {On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning},
      year = {2022}
    }
    
  8. Unrolling SGD: Understanding Factors Influencing Machine Unlearning
    Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot
    In Proceedings of the 7th IEEE European Symposium on Security and Privacy, Genoa, Italy

    Paper

    @inproceedings{anvith2022unrollingconference,
      author = {Thudi, Anvith and Deza, Gabriel and Chandrasekaran, Varun and Papernot, Nicolas},
      booktitle = {Proceedings of the 7th IEEE European Symposium on Security and Privacy, Genoa, Italy},
      title = {Unrolling SGD: Understanding Factors Influencing Machine Unlearning},
      year = {2022}
    }
    
  9. 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{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}
    }
    
  10. SoK: Machine Learning Governance
    Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot

    Paper

    @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}
    }