no code implementations • 19 Feb 2024 • Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri
To this end, we propose FairProof - a system that uses Zero-Knowledge Proofs (a cryptographic primitive) to publicly verify the fairness of a model, while maintaining confidentiality.
no code implementations • 22 May 2023 • Ioana Baldini, Chhavi Yadav, Payel Das, Kush R. Varshney
Bias auditing is further complicated by LM brittleness: when a presumably biased outcome is observed, is it due to model bias or model brittleness?
no code implementations • 9 Jun 2022 • Chhavi Yadav, Michal Moshkovitz, Kamalika Chaudhuri
This work formalizes the role of explanations in auditing and investigates if and how model explanations can help audits.
no code implementations • 14 Sep 2021 • Chhavi Yadav, Kamalika Chaudhuri
We attribute this to training set subsampling for IFs.
1 code implementation • 9 Nov 2019 • Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian
Early detection is a crucial goal in the study of Alzheimer's Disease (AD).
1 code implementation • NeurIPS 2019 • Chhavi Yadav, Léon Bottou
Although the popular MNIST dataset [LeCun et al., 1994] is derived from the NIST database [Grother and Hanaoka, 1995], the precise processing steps for this derivation have been lost to time.