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ORCIDChhavi Yadav
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2020 – today
- 2024
[j1]Chhavi Yadav, Michal Moshkovitz, Kamalika Chaudhuri:
XAudit : A Learning-Theoretic Look at Auditing with Explanations. Trans. Mach. Learn. Res. 2024 (2024)- [c4]Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri:
FairProof : Confidential and Certifiable Fairness for Neural Networks. ICML 2024 - [i8]Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri:
FairProof : Confidential and Certifiable Fairness for Neural Networks. CoRR abs/2402.12572 (2024) - [i7]Chhavi Yadav, Ruihan Wu, Kamalika Chaudhuri:
Influence-based Attributions can be Manipulated. CoRR abs/2409.05208 (2024) - [i6]Ruihan Wu, Chhavi Yadav, Russ Salakhutdinov, Kamalika Chaudhuri:
Evaluating Deep Unlearning in Large Language Models. CoRR abs/2410.15153 (2024) - 2023
- [i5]Ioana Baldini, Chhavi Yadav, Payel Das, Kush R. Varshney:
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models. CoRR abs/2305.12620 (2023) - 2022
- [i4]Chhavi Yadav, Michal Moshkovitz, Kamalika Chaudhuri:
A Learning-Theoretic Framework for Certified Auditing of Machine Learning Models. CoRR abs/2206.04740 (2022) - 2021
- [c3]Chhavi Yadav, Kamalika Chaudhuri:
Behavior of k-NN as an Instance-Based Explanation Method. PKDD/ECML Workshops (1) 2021: 90-96 - [i3]Chhavi Yadav, Kamalika Chaudhuri:
Behavior of k-NN as an Instance-Based Explanation Method. CoRR abs/2109.06999 (2021)
2010 – 2019
- 2019
- [c2]Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian:
On the design of convolutional neural networks for automatic detection of Alzheimer's disease. ML4H@NeurIPS 2019: 184-201 - [c1]Chhavi Yadav, Léon Bottou:
Cold Case: The Lost MNIST Digits. NeurIPS 2019: 13443-13452 - [i2]Chhavi Yadav, Léon Bottou:
Cold Case: The Lost MNIST Digits. CoRR abs/1905.10498 (2019) - [i1]Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian
:
On the design of convolutional neural networks for automatic detection of Alzheimer's disease. CoRR abs/1911.03740 (2019)
Coauthor Index
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