Get started
Author

Chhavi Yadav

Cold Case: The Lost MNIST Digits
2019 · Yadav, Chhavi, Bottou, Léon · arXiv (Cornell University) · 69
PDF
On the design of convolutional neural networks for automatic detection of Alzheimer's disease
2019 · Liu, Sheng, Yadav, Chhavi, et al. · arXiv (Cornell University) · 39
PDF
Behavior of k-NN as an Instance-Based Explanation Method
2021 · Chhavi Yadav, Kamalika Chaudhuri · Communications in computer and information science · 3
PDF
FairProof : Confidential and Certifiable Fairness for Neural Networks
2024 · Yadav, Chhavi, Chowdhury, Amrita Roy, et al. · arXiv (Cornell University) · 2
PDF
Using Brain MRI Images to Predict Memory, BMI & Age
2019 · Chhavi Yadav, Narges Razavian · 2
Evaluating Deep Unlearning in Large Language Models
2026 · Ruihan Wu, Chhavi Yadav, et al. · IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) · 1
PDF
Position: Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
2026 · Kevin Kuo, Chhavi Yadav, et al. · IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) · 1
Position: Child Safety Necessitates New Approaches to AI Safety
2026 · Neil Kale, Rebecca Portnoff, et al. · SSRN Electronic Journal · 1
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
2025 · Yadav, Chhavi, Laufer, Evan Monroe, et al. · arXiv (Cornell University) · 1
PDF
Influence-based Attributions can be Manipulated
2024 · Yadav, Chhavi, Wu, Ruihan, et al. · arXiv (Cornell University) · 1
PDF
Keeping Up with the Language Models: Systematic Benchmark Extension for Bias Auditing
2023 · Baldini, Ioana, Yadav, Chhavi, et al. · arXiv (Cornell University) · 1
PDF
XAudit : A Theoretical Look at Auditing with Explanations
2022 · Yadav, Chhavi, Moshkovitz, Michal, et al. · arXiv (Cornell University) · 1
PDF
Sample What You Say: Aligning Language Models to Sample the Distributions They State
2026 · Arabi, Kasra, Smith, Virginia, et al. · arXiv (Cornell University)
PDF
Safety Nudges: User-Facing Interventions for Real-Time AI Risk Awareness
2026 · Elangovan, Varshini, Wedgwood, James, et al. · arXiv (Cornell University)
PDF
Hidden in Plain Sight: Benchmarking Agent Safety Against Decomposition Attacks with DECOMPBENCH
2026 · Kothamasu, Vikhyath, Smith, Virginia, et al. · arXiv (Cornell University)
PDF
Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety
2026 · Kale, Neil, Portnoff, Rebecca, et al. · arXiv (Cornell University)
PDF
Alignment Defends LLMs from Property Inference Attacks
2026 · Huang, Pengrun, Yadav, Chhavi, et al. · arXiv (Cornell University)
PDF
Open-Weight LLM Fine-Tuning Defenses are Susceptible to Simple Attacks
2026 · Kuo, Kevin, Smith, Virginia, et al. · arXiv (Cornell University)
PDF
Curriculum Learning for Safety Alignment
2026 · Kumar, Sandeep, Smith, Virginia, et al. · arXiv (Cornell University)
PDF
Automated Concept Discovery for LLM-as-a-Judge Preference Analysis
2026 · Wedgwood, James, Yadav, Chhavi, et al. · arXiv (Cornell University)
PDF
The Mainstays of Trustworthy Machine Learning
2025 · Chhavi Yadav · Proceedings of the AAAI Conference on Artificial Intelligence
PDF
Can We Infer Confidential Properties of Training Data from LLMs?
2025 · Pengrun Huang, Chhavi Yadav, et al. · neural information processing systems
PDF
Works count: 22
Citation count: 122
H-index: 3
I10-index: 2
Year
Topic
Type