Research Interests
Papers
- On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot
@article{anvith2021on, author = {Thudi, Anvith and Jia, Hengrui and Shumailov, Ilia and Papernot, Nicolas}, title = {On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning}, year = {2021} }
- Unrolling SGD: Understanding Factors Influencing Machine Unlearning
Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot
@article{anvith2021unrolling, author = {Thudi, Anvith and Deza, Gabriel and Chandrasekaran, Varun and Papernot, Nicolas}, title = {Unrolling SGD: Understanding Factors Influencing Machine Unlearning}, year = {2021} }
- 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{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} }
- SoK: Machine Learning Governance
Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot
@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} }