Anvith Thudi

According to our database1, Anvith Thudi authored at least 12 papers between 2021 and 2024.

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Bibliography

2024
Unlearnable Algorithms for In-context Learning.
CoRR, 2024

2023
Better Sparsifiers for Directed Eulerian Graphs.
CoRR, 2023

Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD.
CoRR, 2023

Training Private Models That Know What They Don't Know.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Proof-of-Learning is Currently More Broken Than You Think.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

2022
On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning.
CoRR, 2022

Selective Classification Via Neural Network Training Dynamics.
CoRR, 2022

Bounding Membership Inference.
CoRR, 2022

On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning.
Proceedings of the 31st USENIX Security Symposium, 2022

Unrolling SGD: Understanding Factors Influencing Machine Unlearning.
Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

2021
SoK: Machine Learning Governance.
CoRR, 2021

Proof-of-Learning: Definitions and Practice.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021


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