Chhavi Yadav

4 papers at tracked venues · 4 at CORE A* · active 2024–2025

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Venues

ICML ×2 AAAI ×1 NeurIPS ×1

Frequent coauthors

Kamalika Chaudhuri

×3

Dan Boneh

×2

Pengrun Huang

×1

Ruihan Wu

×1

Evan Laufer

×1

Amrita Roy Chowdhury

×1

Papers

Can We Infer Confidential Properties of Training Data from LLMs?
NeurIPS 2025 ·
Pengrun Huang
, Chhavi Yadav,
Kamalika Chaudhuri
,
Ruihan Wu
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
ICML 2025 · Chhavi Yadav,
Evan Laufer
,
Dan Boneh
,
Kamalika Chaudhuri
The Mainstays of Trustworthy Machine Learning
AAAI 2025 · Chhavi Yadav
FairProof : Confidential and Certifiable Fairness for Neural Networks
ICML 2024 · Chhavi Yadav,
Amrita Roy Chowdhury
,
Dan Boneh
,
Kamalika Chaudhuri