Chhavi Yadav

According to our database1, Chhavi Yadav authored at least 9 papers between 2019 and 2024.

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Bibliography

2024
XAudit : A Learning-Theoretic Look at Auditing with Explanations.
Trans. Mach. Learn. Res., 2024

Evaluating Deep Unlearning in Large Language Models.
CoRR, 2024

Influence-based Attributions can be Manipulated.
CoRR, 2024

FairProof : Confidential and Certifiable Fairness for Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models.
CoRR, 2023

2022
A Learning-Theoretic Framework for Certified Auditing of Machine Learning Models.
CoRR, 2022

2021
Behavior of k-NN as an Instance-Based Explanation Method.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2019
Cold Case: The Lost MNIST Digits.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the design of convolutional neural networks for automatic detection of Alzheimer's disease.
Proceedings of the Machine Learning for Health Workshop, 2019


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