Anvith Thudi
PhD student
Email
Papers
- Selective Classification Via Neural Network Training Dynamics
Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Israfil Bahceci, Akram Bin Sediq, Hamza Sokun, Nicolas Papernot
@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} }
- Unlearnable Algorithms for In-context Learning
Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot
@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} }
- From Differential Privacy to Bounds on Membership Inference: Less can be More
Anvith Thudi, Ilia Shumailov, Franziska Boenisch, Nicolas Papernot
@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} }
- 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@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} }
- 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@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} }
- 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@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} }
- 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@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} }
- 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@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} }
- 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@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} }
- SoK: Machine Learning Governance
Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot
@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} }