Chhavi Yadav

4 papers · 2019–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird

Venues

ICML (2) AAAI (1) NeurIPS (1)

Top co-authors

Dan Boneh (2) Kamalika Chaudhuri (2) Evan Laufer (1) Amrita Roy Chowdhury (1) Léon Bottou (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Core AI (3) Deep Learning (2) Core Methods (2) Application Areas (1) Architectures (1) Learning Types (1) Optimization & Theory (1)

Keywords

zero-knowledge proof (2) neural network (2) explainability (1) empirical evaluation (1) bias mitigation (1) model reliability (1) classifier comparison (1) random forest (1) test set (1) trustworthy machine learning (1) classifier evaluation (1) fairness certification (1) societal application (1) dataset reconstruction (1) testing performance (1) verification (1) lime (1) operational (1) benchmark evaluation (1) confidentiality (1)

Papers

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs ICML 2025 The Mainstays of Trustworthy Machine Learning AAAI 2025 FairProof : Confidential and Certifiable Fairness for Neural Networks ICML 2024 Cold Case: The Lost MNIST Digits NeurIPS 2019