Search Results for author: Anvith Thudi

Found 7 papers, 2 papers with code

Selective Classification Via Neural Network Training Dynamics

no code implementations26 May 2022 Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Nicolas Papernot

Selective classification is the task of rejecting inputs a model would predict incorrectly on through a trade-off between input space coverage and model accuracy.

Classification

Bounding Membership Inference

no code implementations24 Feb 2022 Anvith Thudi, Ilia Shumailov, Franziska Boenisch, Nicolas Papernot

We find this greatly reduces the bound on MI positive accuracy.

On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning

no code implementations22 Oct 2021 Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot

Machine unlearning, i. e. having a model forget about some of its training data, has become increasingly more important as privacy legislation promotes variants of the right-to-be-forgotten.

SoK: Machine Learning Governance

no code implementations20 Sep 2021 Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot

The application of machine learning (ML) in computer systems introduces not only many benefits but also risks to society.

BIG-bench Machine Learning

Proof-of-Learning: Definitions and Practice

2 code implementations9 Mar 2021 Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot

In particular, our analyses and experiments show that an adversary seeking to illegitimately manufacture a proof-of-learning needs to perform *at least* as much work than is needed for gradient descent itself.

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