Anvith Thudi

According to our database, Anvith Thudi authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

From Differential Privacy to Bounds on Membership Inference: Less can be More.

Anvith Thudi, Ilia Shumailov, Franziska Boenisch, Nicolas Papernot

Trans. Mach. Learn. Res., 2024

Finding Optimally Robust Data Mixtures via Concave Maximization.

Anvith Thudi, Chris J. Maddison

CoRR, 2024

Unlearnable Algorithms for In-context Learning.

Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot

CoRR, 2024

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

Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot

Proceedings of the 33rd USENIX Security Symposium, 2024

Better Sparsifiers for Directed Eulerian Graphs.

Sushant Sachdeva, Anvith Thudi, Yibin Zhao

Proceedings of the 51st International Colloquium on Automata, Languages, and Programming, 2024

2023

Training Private Models That Know What They Don't Know.

Stephan Rabanser, Anvith Thudi, Abhradeep Guha Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot

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.

Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot

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.

Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot

CoRR, 2022

Selective Classification Via Neural Network Training Dynamics.

Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Nicolas Papernot

CoRR, 2022

Bounding Membership Inference.

Anvith Thudi, Ilia Shumailov, Franziska Boenisch, Nicolas Papernot

CoRR, 2022

On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning.

Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot

Proceedings of the 31st USENIX Security Symposium, 2022

Unrolling SGD: Understanding Factors Influencing Machine Unlearning.

Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot

Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

2021

SoK: Machine Learning Governance.

Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot

CoRR, 2021

Proof-of-Learning: Definitions and Practice.

Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021